IEEE Transactions on Knowledge and Data Engineering的第34期的论文列表（2022，5，May）

卷期号： 34

发布时间： May

卷期年份： 2022

A Collective Approach to Scholar Name Disambiguation

A Graph Neural Network Framework for Social Recommendations

A Hybrid Data Cleaning Framework Using Markov Logic Networks

A Method for Geodesic Distance on Subdivision of Trees With Arbitrary Orders and Their Applications

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation

CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples

Data Representation by Joint Hypergraph Embedding and Sparse Coding

Data-Driven Variable Decomposition for Treatment Effect Estimation

Efficient Processing of Group Planning Queries Over Spatial-Social Networks

Embedded Transaction Support Inside SSD With Small-Capacity Non-Volatile Disk Cache

Entropy-Based Subjective Choice Models

Exploiting Data Skew for Improved Query Performance

Feature and Nuclear Norm Minimization for Matrix Completion

Graph Matching Via the Lens of Supermodularity

Index-Based Solutions for Efficient Density Peak Clustering

Interpretation of Structural Preservation in Low-Dimensional Embeddings

Karst: Transactional Data Ingestion Without Blocking on a Scalable Architecture

KGGen: A Generative Approach for Incipient Knowledge Graph Population

Learning Deep Graph Representations via Convolutional Neural Networks

Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy

MAS-Encryption and its Applications in Privacy-Preserving Classifiers

Minority Sub-Region Estimation-Based Oversampling for Imbalance Learning

Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks

Rapid Detection of Local Communities in Graph Streams

Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation

Role-Based Graph Embeddings

Semantic Interpretation of Top-N Recommendations

Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space

Social Attentive Deep Q-Networks for Recommender Systems

Stream Processing of Shortest Path Query in Dynamic Road Networks

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM

Topic-Guided Conversational Recommender in Multiple Domains

Using Survival Theory in Early Pattern Detection for Viral Cascades

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation