IEEE Transactions on Knowledge and Data Engineering的第34期的论文列表（2022，9，Sept.）

卷期号： 34

发布时间： Sept.

卷期年份： 2022

A Novel Outlier Detection Method for Multivariate Data

A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification

An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation

Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning

Boundary-Focused Generative Adversarial Networks for Imbalanced and Multimodal Time Series

CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs

Detect Professional Malicious User With Metric Learning in Recommender Systems

Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality

Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression

Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks

Efficient Radius-Bounded Community Search in Geo-Social Networks

Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks

Enumerating Maximum Cliques in Massive Graphs

Exploiting Reuse for GPU Subgraph Enumeration

Few-Shot Named Entity Recognition via Meta-Learning

GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning Over Large-Scale Graphs

Generating Knowledge-Based Attentive User Representations for Sparse Interaction Recommendation

Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation

Improving Deep Forest by Screening

Index-Based Intimate-Core Community Search in Large Weighted Graphs

Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records

LTC: A Fast Algorithm to Accurately Find Significant Items in Data Streams

Maximizing the Diversity of Exposure in a Social Network

MMCo-Clus – An Evolutionary Co-clustering Algorithm for Gene Selection

Modelling High-Order Social Relations for Item Recommendation

Multi-Task Learning for Influence Estimation and Maximization

Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization

Robust Variational Learning for Multiclass Kernel Models With Stein Refinement

Smooth Compact Tensor Ring Regression

Space-Efficient Subgraph Search Over Streaming Graph With Timing Order Constraint

Structural and Textual Information Fusion for Symptom and Disease Representation Learning

Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters

Trajectory-Based Spatiotemporal Entity Linking

TTPNet: A Neural Network for Travel Time Prediction Based on Tensor Decomposition and Graph Embedding

Verifying the Correctness of Analytic Query Results

Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity