1041-4347

IEEE Transactions on Knowledge and Data Engineering （TKDE） - 论文列表

点击这里查看 IEEE Transactions on Knowledge and Data Engineering 的JCR分区、影响因子等信息
卷期号： 35
发布时间： Jan.
卷期年份： 2023
卷期官网： https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=9973432&issue_denial=true&userType=&issue_login=true
本期论文列表
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing

A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification

A Robust Linear Regression Feature Selection Method for Data Sets With Unknown Noise

A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods

Active and Compact Entropy Search for High-Dimensional Bayesian Optimization

Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure

Adversarial Attack on Large Scale Graph

Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions

Applications of Differential Privacy in Social Network Analysis: A Survey

Beyond Similarity: Relation-Based Collaborative Filtering

Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion

Centralized Routing for Bike-Sharing Systems

CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding

Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph

Core Decomposition on Uncertain Graphs Revisited

Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network

Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions

Data Lake Organization

Decision Tree for Sequences

Deep Metric Learning for K Nearest Neighbor Classification

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction

DeepPick: A Deep Learning Approach to Unveil Outstanding Users With Public Attainable Features

Diagnostic Sparse Connectivity Networks With Regularization Template

Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations

Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing

Dynamic Opinion Maximization in Social Networks

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings

EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis

Edge Manipulation Approaches for K-Core Minimization: Metrics and Analytics

Efficient Anomaly Detection for High-Dimensional Sensing Data With One-Class Support Vector Machine

Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation

Embedding Disentanglement in Graph Convolutional Networks for Recommendation

Fast Multi-View Clustering via Prototype Graph

Finding Critical Users in Social Communities via Graph Convolutions

FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks

Generalized Label Enhancement With Sample Correlations

Graph-Based Embedding Smoothing for Sequential Recommendation

Graph-Driven Federated Data Management

Heterogeneous Graph Propagation Network

Heterogeneous Latent Topic Discovery for Semantic Text Mining

Hierarchical Multi-View Graph Pooling With Structure Learning

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks

How Context or Knowledge Can Benefit Healthcare Question Answering?

Incomplete Multi-View Clustering With Joint Partition and Graph Learning

Inferring Origin-Destination Flows From Population Distribution

Informed Machine Learning – A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems

Knowledge Graph for China's Genealogy11.A shorter version of this paper won the Best Paper Award at IEEE ICKG 2020 (the 11th IEEE International Conference on Knowledge Graph, ickg 2020.bigke.org).

Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction

Learning Hierarchical Review Graph Representations for Recommendation

Link Prediction on N-ary Relational Data Based on Relatedness Evaluation

Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning

Model Reuse With Reduced Kernel Mean Embedding Specification

MRT: Tracing the Evolution of Scientific Publications

Multi-Hop Reasoning Question Generation and Its Application

Multi-Modal Discrete Collaborative Filtering for Efficient Cold-Start Recommendation

Multi-Relational Data Characterization by Tensors: Perturbation Analysis

Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide

Neighbor-Anchoring Adversarial Graph Neural Networks

NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data

NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning

On Efficient Large Maximal Biplex Discovery

RatioRF: A Novel Measure for Random Forest Clustering Based on the Tversky’s Ratio Model

RobustECD: Enhancement of Network Structure for Robust Community Detection

Self-Supervised Learning: Generative or Contrastive

Semi-Supervised Learning With Label Proportion

Set-Aware Entity Synonym Discovery With Flexible Receptive Fields

Sparse Graph Attention Networks

SwapKV: A Hotness Aware In-Memory Key-Value Store for Hybrid Memory Systems

Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning

Temporal Network Motifs: Models, Limitations, Evaluation

Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution

Topic Modeling of Short Texts: A Pseudo-Document View With Word Embedding Enhancement

Towards Fine-Grained Concept Generation

Towards Indoor Temporal-Variation Aware Shortest Path Query

TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System

T-SQL: A Lightweight Implementation to Enable Built-in Temporal Support in MVCC-Based RDBMSs

TwiCS: Lightweight Entity Mention Detection in Targeted Twitter Streams

Utility-Preserving Privacy Protection of Textual Documents via Word Embeddings

Where to: Crowd-Aided Path Selection by Selective Bayesian Network