cikm 2021 论文列表
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021.
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International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021).
Human-Centric Analytics and Systems Impacting Quality of Life: ECG Analytics and Beyond.
First Workshop on Knowledge Injection in Neural Networks (KINN).
IWILDS'21: Second International Workshop on Learning During Web Search.
CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation.
THECOG - Transforms In Behavioral And Affective Computing.
Learning to Quantify: Methods and Applications (LQ 2021).
MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World.
MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems.
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications.
Fake News, Disinformation, Propaganda, and Media Bias.
IR From Bag-of-words to BERT and Beyond through Practical Experiments.
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems.
AutoML: From Methodology to Application.
Fair Graph Mining.
Large-Scale Information Extraction under Privacy-Aware Constraints.
Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and Beyond.
Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges.
AntOpt: A Multi-functional Large-scale Decision Optimization Platform.
SaDes: An Interactive System for Sensitivity-aware Desensitization towards Tabular Data.
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop.
Form 10-Q Itemization.
A Chinese Knowledge Base Question Answering System.
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce.
Jasmine: Exploring the Dependency-Aware Execution on Distributed Shared Memory.
A Cohesive Structure Based Bipartite Graph Analytics System.
Videolytics: System for Data Analytics of Video Streams.
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.
A Sentiment and Style Controllable Approach for Chinese Poetry Generation.
PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System.
A Semantic Data Marketplace for Easy Data Sharing within a Smart City.
DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning.
DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs.
RW-Team: Robust Team Formation using Random Walk.
IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks.
From Community Search to Community Understanding: A Multimodal Community Query Engine.
Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food.
RCES: Rapid Cues Exploratory Search Using Taxonomies For COVID-19.
CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking.
SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints.
HAO Unity: A Graph-based System for Unifying Heterogeneous Data.
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories.
PyTFL: A Python-based Neural Team Formation Toolkit.
An RDF Data Management System for Conflict Casualties.
OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning.
SearchEHR: A Family History Search System for Clinical Decision Support.
DashBot: An ML-Guided Dashboard Generation System.
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia.
Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference.
Landmark Explanation: An Explainer for Entity Matching Models.
MVQAS: A Medical Visual Question Answering System.
Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens.
FairCORELS, an Open-Source Library for Learning Fair Rule Lists.
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs.
Machamp: A Generalized Entity Matching Benchmark.
LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature.
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox.
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale.
TrUMAn: Trope Understanding in Movies and Animations.
librec-auto: A Tool for Recommender Systems Experimentation.
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models.
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law.
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean.
QuaPy: A Python-Based Framework for Quantification.
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval.
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction.
LC: A Flexible, Extensible Open-Source Toolkit for Model Compression.
Evaluating Graph Vulnerability and Robustness using TIGER.
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.
WorldKG: A World-Scale Geographic Knowledge Graph.
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs.
CoST: An annotated Data Collection for Complex Search.
GAKG: A Multimodal Geoscience Academic Knowledge Graph.
VidLife: A Dataset for Life Event Extraction from Videos.
MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries.
Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation.
Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem.
HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting.
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms.
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge.
Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising.
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks.
Self-supervised Learning for Large-scale Item Recommendations.
Cascaded Deep Neural Ranking Models in LinkedIn People Search.
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation.
Seasonal Relevance in E-Commerce Search.
CADRE: A Cloud-Based Data Service for Big Bibliographic Data.
Contextual Skill Proficiency via Multi-task Learning at LinkedIn.
Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies.
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation.
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation.
Crawler Detection in Location-Based Services Using Attributed Action Net.
Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach.
'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds.
Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising.
Influence Maximization in Multi-Relational Social Networks.
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.
SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion.
Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus.
WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia.
AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening.
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps.
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering.
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry.
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.
SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios.
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction.
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation.
Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations.
Prioritizing Original News on Facebook.
TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity.
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search.
Scalable Learning to Troubleshoot Query Performance Problems.
Sequential Search with Off-Policy Reinforcement Learning.
Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations.
Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task.
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching.
Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval.
Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series.
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation.
Unsupervised Categorical Representation Learning for Package Arrival Time Prediction.
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization.
Causal-Aware Generative Imputation for Automated Underwriting.
Elastic and Stable Compaction for LSM-tree: A FaaS-Based Approach on TerarkDB.
Learning to Bundle Proactively for On-Demand Meal Delivery.
Understanding Job Seeker Funnel for Search and Discovery Personalization.
Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising.
Prohibited Item Detection on Heterogeneous Risk Graphs.
LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising.
ARGH!: Automated Rumor Generation Hub.
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach.
Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce.
Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach.
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.
Beast: Scalable Exploratory Analytics on Spatio-temporal Data.
From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog.
AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining.
ETA Prediction with Graph Neural Networks in Google Maps.
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models.
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation.
Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture.
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification.
Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts.
Self-Supervised Embedding for Subspace Clustering.
REFINE: Random RangE FInder for Network Embedding.
Tabular Data Concept Type Detection Using Star-Transformers.
Subtractive Aggregation for Attributed Network Anomaly Detection.
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings.
Multi-Task Self-Supervised Learning for Script Event Prediction.
Multimodal Graph Meta Contrastive Learning.
Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging.
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder.
DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking.
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic.
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features.
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.
Causally Attentive Collaborative Filtering.
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks.
Multi-objective Privacy-preserving Text Representation Learning.
Storing Multi-model Data in RDBMSs based on Reinforcement Learning.
Aspect Sentiment Triplet Extraction Using Reinforcement Learning.
MixBERT for Image-Ad Relevance Scoring in Advertising.
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback.
GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem Evolution.
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder.
Relation-aware Heterogeneous Graph for User Profiling.
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer.
Binary Code based Hash Embedding for Web-scale Applications.
DESTINE: Dense Subgraph Detection on Multi-Layered Networks.
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction.
Fairness-Aware Unsupervised Feature Selection.
SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search.
Structural Deep Incomplete Multi-view Clustering Network.
Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs.
AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation.
Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks.
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems.
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
Low-dimensional Alignment for Cross-Domain Recommendation.
Modeling Inter-Claim Interactions for Verifying Multiple Claims.
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT.
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values.
Label-informed Graph Structure Learning for Node Classification.
Fully Hyperbolic Graph Convolution Network for Recommendation.
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization.
Embedding Node Structural Role Identity Using Stress Majorization.
Template-guided Clarifying Question Generation for Web Search Clarification.
SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary.
Vector-Quantized Autoencoder With Copula for Collaborative Filtering.
Query Embedding Pruning for Dense Retrieval.
HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation.
Talking Face Generation Based on Information Bottleneck and Complementary Representations.
AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting.
Location-Aware Named Entity Disambiguation.
Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation.
Predicting Success of a Persuasion through Joint Modeling of Utterance Categorization.
Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network.
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage.
DeepGroup: Group Recommendation with Implicit Feedback.
Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search.
Knowledge-Aware Neural Networks for Medical Forum Question Classification.
A Conditional Cascade Model for Relational Triple Extraction.
Accelerating Variant Calling on Human Genomes Using a Commodity Cluster.
Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval.
Reputation Equity in Ranking Systems.
Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based Search.
Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification.
Evaluating Fairness in Argument Retrieval.
Training Neural Networks with Random Noise Images for Adversarial Robustness.
Lightweight Visual Question Answering using Scene Graphs.
Discovery of Temporal Graph Functional Dependencies.
MDFEND: Multi-domain Fake News Detection.
Multi-objective Few-shot Learning for Fair Classification.
On Skipping Behaviour Types in Music Streaming Sessions.
Neuron Campaign for Initialization Guided by Information Bottleneck Theory.
GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction.
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval.
Temporal Network Embedding via Tensor Factorization.
Learning Sparse Binary Code for Maximum Inner Product Search.
Smoothing with Fake Label.
Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast.
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention.
Operation Diagnosis on Procedure Graph: The Task and Dataset.
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update.
Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks.
Age Inference Using A Hierarchical Attention Neural Network.
Fine-Grained Element Identification in Complaint Text of Internet Fraud.
Deep Active Learning for Text Classification with Diverse Interpretations.
State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval.
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation.
Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic.
Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning.
Graph Representation Learning via Adversarial Variational Bayes.
Vandalism Detection in OpenStreetMap via User Embeddings.
Span-level Emotion Cause Analysis with Neural Sequence Tagging.
Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network.
OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval.
Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images.
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs.
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.
Hubness-aware User Identity Linkage.
Capsule Graph Neural Networks with EM Routing.
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System.
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models.
SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer.
Attention Based Subgraph Classification for Link Prediction by Network Re-weighting.
Boosting Graph Alignment Algorithms.
Asterisk-Shaped Features for Tabular Data.
Exploratory Search of GANs with Contextual Bandits.
UQJG: Identifying Transactions that Collaborate to Violate an SQL Assertion.
Query-driven Segment Selection for Ranking Long Documents.
Self-supervised Fine-tuning for Efficient Passage Re-ranking.
CoSEM: Contextual and Semantic Embedding for App Usage Prediction.
Question Answering using Web Lists.
RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction.
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning.
Robust Adaptive-weighting Multi-view Classification.
CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern Chinese.
The Effect of News Article Quality on Ad Consumption.
When is Nearest Neighbor Meaningful: Sequential Data.
Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation.
LTPHM: Long-term Traffic Prediction based on Hybrid Model.
Locker: Locally Constrained Self-Attentive Sequential Recommendation.
Centerpoint Query Authentication.
Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling.
Automatic Error Correction Using the Wikipedia Page Revision History.
Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation.
GLocal-K: Global and Local Kernels for Recommender Systems.
Counterfactual Generative Smoothing for Imbalanced Natural Language Classification.
Region Invariant Normalizing Flows for Mobility Transfer.
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias.
Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy.
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones.
Density-Based Dynamic Curriculum Learning for Intent Detection.
EasyFlinkCEP: Big Event Data Analytics for Everyone.
Towards Robustness to Label Noise in Text Classification via Noise Modeling.
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation.
Recommending Datasets for Scientific Problem Descriptions.
Collaborative Experts Discovery in Social Coding Platforms.
FairER: Entity Resolution With Fairness Constraints.
Fair and Robust Classification Under Sample Selection Bias.
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search.
Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection.
Simulated Annealing for Emotional Dialogue Systems.
Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning.
Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations.
Does Adversarial Oversampling Help us?
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting.
ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation.
Variational Cross-Network Embedding for Anonymized User Identity Linkage.
Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection.
MGNETS: Multi-Graph Neural Networks for Table Search.
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing.
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection.
Mitigating Deep Double Descent by Concatenating Inputs.
NQuAD: 70, 000+ Questions for Machine Comprehension of the Numerals in Text.
Distilling Numeral Information for Volatility Forecasting.
Constructing Noise Free Economic Policy Uncertainty Index.
New Tight Relaxations of Rank Minimization for Multi-Task Learning.
Spectral Graph Attention Network with Fast Eigen-approximation.
Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction.
Misbeliefs and Biases in Health-Related Searches.
Boosting Few-shot Abstractive Summarization with Auxiliary Tasks.
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps.
Anchor-based Collaborative Filtering.
Time-Aware Recommender System via Continuous-Time Modeling.
Understanding Multi-channel Customer Behavior in Retail.
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection.
BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction.
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders.
XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering.
Scalable Contrast Pattern Mining over Data Streams.
How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach.
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems.
Variational Graph Normalized AutoEncoders.
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values.
Goal-Directed Extractive Summarization of Financial Reports.
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality.
Discovering Time-invariant Causal Structure from Temporal Data.
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking.
Summarizing Long-Form Document with Rich Discourse Information.
Open Benchmarking for Click-Through Rate Prediction.
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling.
#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs.
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks.
Relation Network and Causal Reasoning for Image Captioning.
Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism.
Automated Query Graph Generation for Querying Knowledge Graphs.
When Hardness Makes a Difference: Multi-Hop Knowledge Graph Reasoning over Few-Shot Relations.
k-sums Clustering: A Stochastic Optimization Approach.
Action Sequence Augmentation for Early Graph-based Anomaly Detection.
Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Removal.
Pareto-optimal Community Search on Large Bipartite Graphs.
Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base Embedding.
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.
Adversarial Separation Network for Cross-Network Node Classification.
HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources.
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm.
Multi-Factors Aware Dual-Attentional Knowledge Tracing.
Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph.
SNPR: A Serendipity-Oriented Next POI Recommendation Model.
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.
Delve into the Performance Degradation of Differentiable Architecture Search.
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection.
DSDD: Domain-Specific Dataset Discovery on the Web.
Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information.
Topic Modeling for Multi-Aspect Listwise Comparisons.
Fraud Detection under Multi-Sourced Extremely Noisy Annotations.
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance.
Reinforced Active Entity Alignment.
Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks.
Multiple Exemplars Learning for Fast Image Retrieval.
Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval.
Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction.
Robust Dynamic Clustering for Temporal Networks.
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.
Task Allocation with Geographic Partition in Spatial Crowdsourcing.
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation.
An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment.
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence.
HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data.
Adversarial Kernel Sampling on Class-imbalanced Data Streams.
Top-N Recommendation with Counterfactual User Preference Simulation.
Entity and Relation Matching Consensus for Entity Alignment.
CIExplore: Curiosity and Influence-based Exploration in Multi-Agent Cooperative Scenarios with Sparse Rewards.
Knowledge Graph Representation Learning as Groupoid: Unifying TransE, RotatE, QuatE, ComplEx.
Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding?
Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising.
Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning.
PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning.
Topic-aware Heterogeneous Graph Neural Network for Link Prediction.
Expanding Relationship for Cross Domain Recommendation.
Speedup Robust Graph Structure Learning with Low-Rank Information.
Counterfactual Review-based Recommendation.
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images.
WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model.
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks.
iMap: Incremental Node Mapping between Large Graphs Using GNN.
Self-Supervised Graph Co-Training for Session-based Recommendation.
Incremental Graph Convolutional Network for Collaborative Filtering.
Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders.
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control.
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network.
Clustering of Conversational Bandits for User Preference Learning and Elicitation.
SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL.
Predicting Instance Type Assertions in Knowledge Graphs Using Stochastic Neural Networks.
AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction.
Pooling Architecture Search for Graph Classification.
Region Semantically Aligned Network for Zero-Shot Learning.
Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing.
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction.
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks.
Tree Decomposed Graph Neural Network.
The Skyline of Counterfactual Explanations for Machine Learning Decision Models.
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation.
Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis.
Improving Chinese Character Representation with Formation Graph Attention Network.
Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation.
REFORM: Error-Aware Few-Shot Knowledge Graph Completion.
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification.
Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism.
Popularity-Enhanced News Recommendation with Multi-View Interest Representation.
Top-k Tree Similarity Join.
Fast k-NN Graph Construction by GPU based NN-Descent.
Addressing the Hardness of k-Facility Relocation Problem: A Pair of Approximate Solutions.
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.
Neural Information Diffusion Prediction with Topic-Aware Attention Network.
Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation.
Reliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing.
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank.
Attention Based Dynamic Graph Learning Framework for Asset Pricing.
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.
Recipe Representation Learning with Networks.
Self-supervised Representation Learning on Dynamic Graphs.
On Influencing the Influential: Disparity Seeding.
Single Node Injection Attack against Graph Neural Networks.
Counterfactual Explainable Recommendation.
Actionable Insights in Urban Multivariate Time-series.
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web.
Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach.
Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering.
PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network.
Semi-supervised Multi-label Learning for Graph-structured Data.
CBML: A Cluster-based Meta-learning Model for Session-based Recommendation.
Metric Sentiment Learning for Label Representation.
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking.
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring.
SGCL: Contrastive Representation Learning for Signed Graphs.
XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management.
WG4Rec: Modeling Textual Content with Word Graph for News Recommendation.
Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning.
DataType-Aware Knowledge Graph Representation Learning in Hyperbolic Space.
How Powerful is Graph Convolution for Recommendation?
Inductive Matrix Completion Using Graph Autoencoder.
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization.
One-shot Transfer Learning for Population Mapping.
ClaSP - Time Series Segmentation.
odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks.
The Shapley Value of Classifiers in Ensemble Games.
Corrective Guidance and Learning for Dialogue Management.
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.
AdaSim: A Recursive Similarity Measure in Graphs.
QuAX: Mining the Web for High-utility FAQ.
Fairness-Aware Training of Decision Trees by Abstract Interpretation.
A Study of Explainability Features to Scrutinize Faceted Filtering Results.
Natural Language Understanding with Privacy-Preserving BERT.
Learning to Augment Imbalanced Data for Re-ranking Models.
Learning Implicit User Profile for Personalized Retrieval-Based Chatbot.
Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees.
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning.
MentalSpot: Effective Early Screening for Depression Based on Social Contagion.
Sparse Shield: Social Network Immunization vs. Harmful Speech.
Differentially Private Federated Knowledge Graphs Embedding.
Learning Saliency Maps to Explain Deep Time Series Classifiers.
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching.
Influence-guided Data Augmentation for Neural Tensor Completion.
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift.
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE.
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays.
Defining an Optimal Configuration Set for Selective Search Strategy - A Risk-Sensitive Approach.
Learning Ideological Embeddings from Information Cascades.
Agenda: Robust Personalized PageRanks in Evolving Graphs.
50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts.
POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence.
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning.
A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion.
Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness.
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation.
SimpleX: A Simple and Strong Baseline for Collaborative Filtering.
Principled Multi-Aspect Evaluation Measures of Rankings.
Generating Compositional Color Representations from Text.
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need.
A Unified View on Graph Neural Networks as Graph Signal Denoising.
LEReg: Empower Graph Neural Networks with Local Energy Regularization.
GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation.
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.
Social Recommendation with Self-Supervised Metagraph Informax Network.
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data.
Graph Embedding Based on Euclidean Distance Matrix and its Applications.
Tracking Semantic Evolutionary Changes in Large-Scale Ontological Knowledge Bases.
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling.
Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling.
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation.
ECMA: An Efficient Convoy Mining Algorithm for Moving Objects.
A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network.
Mining Cross Features for Financial Credit Risk Assessment.
SCMGR: Using Social Context and Multi-Granularity Relations for Unsupervised Social Summarization.
Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces.
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering.
Deep Self-Adaptive Hashing for Image Retrieval.
Grammatical Error Correction with Dependency Distance.
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding.
Extracting Attentive Social Temporal Excitation for Sequential Recommendation.
Hyperbolic Hypergraphs for Sequential Recommendation.
Learning to Cluster via Same-Cluster Queries.
Lightweight Self-Attentive Sequential Recommendation.
Block Access Pattern Discovery via Compressed Full Tensor Transformer.
Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server.
Cache-based GNN System for Dynamic Graphs.
Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems.
Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks.
Certifying One-Phase Technology-Assisted Reviews.
Efficient Multi-Scale Feature Generation Adaptive Network.
Fast Extraction of Word Embedding from Q-contexts.
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning.
Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary.
Semantic Concept Annotation for Tabular Data.
Norma: A Hybrid Feature Alignment for Class-Aware Unsupervised Domain Adaptation.
Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits.
Graph Feature Gating Networks.
Contrastive Pre-Training of GNNs on Heterogeneous Graphs.
Complex Temporal Question Answering on Knowledge Graphs.
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation.
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation.
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval.
Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era.
Signed Bipartite Graph Neural Networks.
Two-tier Graph Contextual Embedding for Cross-device User Matching.
Rectifying Pseudo Labels: Iterative Feature Clustering for Graph Representation Learning.
What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.
Click-Through Rate Prediction with Multi-Modal Hypergraphs.
Estimating Average Treatment Effects via Orthogonal Regularization.
Learning Multiple Intent Representations for Search Queries.
GraphITE: Estimating Individual Effects of Graph-structured Treatments.
Multi-view Interaction Learning for Few-Shot Relation Classification.
Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction.
NED: Niche Detection in User Content Consumption Data.
VPALG: Paper-publication Prediction with Graph Neural Networks.
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing.
Mining Bursty Groups from Interaction Data.
Driving the Herd: Search Engines as Content Influencers.
Zero-shot Relation Classification from Side Information.
Hierarchical Semantics Matching For Heterogeneous Spatio-temporal Sources.
To Be or not to Be, Tail Labels in Extreme Multi-label Learning.
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs.
Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions.
Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations.
Pruning Meta-Trained Networks for On-Device Adaptation.
Fast and Accurate Anchor Graph-based Label Prediction.
Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems.
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation.
Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems.
CANN: Coupled Approximation Neural Network for Partial Domain Adaptation.
HyperGraph Convolution Based Attributed HyperGraph Clustering.
Large-scale Secure XGB for Vertical Federated Learning.
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.
Fine and Coarse Granular Argument Classification before Clustering.
Query-Variant Advertisement Text Generation with Association Knowledge.
AdaRNN: Adaptive Learning and Forecasting of Time Series.
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter.
Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation.
A Deep Learning Framework for Self-evolving Hierarchical Community Detection.
Explanations for Data Repair Through Shapley Values.
Deep Adversarial Network Alignment.
Understanding Event Predictions via Contextualized Multilevel Feature Learning.
Mitigating Negative Influence Diffusion is Hard.
FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning.
Scaling Up Distance-generalized Core Decomposition.
Towards Self-Explainable Graph Neural Network.
Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction.
Answering POI-recommendation Questions using Tourism Reviews.
Query Definability and Its Approximations in Ontology-based Data Management.
Evaluating Relevance Judgments with Pairwise Discriminative Power.
LT-OCF: Learnable-Time ODE-based Collaborative Filtering.
An Effective Non-Autoregressive Model for Spoken Language Understanding.
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation.
DCAP: Deep Cross Attentional Product Network for User Response Prediction.
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics.
Generative Inverse Deep Reinforcement Learning for Online Recommendation.
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities.
FedMatch: Federated Learning Over Heterogeneous Question Answering Data.
Incorporating Query Reformulating Behavior into Web Search Evaluation.
LiteGT: Efficient and Lightweight Graph Transformers.
Geometric Heuristics for Transfer Learning in Decision Trees.
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior.
Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection.
ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations.
Cross-Market Product Recommendation.
Influence Maximization With Co-Existing Seeds.
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations.
Representation Learning via Variational Bayesian Networks.
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps.
Non-Visual Accessibility Assessment of Videos.
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy.
Skyline in Crowdsourcing with Imprecise Comparisons.
Automated Selection of Multiple Datasets for Extension by Integration.
Analysing Mixed Initiatives and Search Strategies during Conversational Search.
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search.
Towards Reliable and Practicable Algorithmic Recourse.
The Primacy of Data in Deep Learning NLP for Conversational AI.
Anomaly Mining: Past, Present and Future.
