IEEE Transactions on Knowledge and Data Engineering

Papers
(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 82. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Generating Characteristic Summaries for Entity Descriptions1490
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning942
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks926
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications749
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction706
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation597
Continuous Trajectory Similarity Search for Online Outlier Detection541
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events532
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning508
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching507
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization505
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning467
Road-aware Indexing for Trajectory Range Queries430
AIM: Automatic Interaction Machine for Click-Through Rate Prediction287
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction264
Learning Idempotent Representation for Subspace Clustering255
Network Representation Lightening from Hashing to Quantization250
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms232
Data-Aware Adaptive Compression for Stream Processing230
Domain Adaptation on Graphs by Learning Aligned Graph Bases224
Explicit Message-Passing Heterogeneous Graph Neural Network222
Modeling and Detecting Communities in Node Attributed Networks220
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity217
The Expressive Power of Graph Neural Networks: A Survey212
Temporal Network Motifs: Models, Limitations, Evaluation199
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks197
Simplified Graph Contrastive Learning Model Without Augmentation193
Encoding High-Cardinality String Categorical Variables192
Dimensionality Reduction for Categorical Data190
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space174
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding172
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation169
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction160
Latent Representation Guided Multi-View Clustering160
CryptIF: Towards Cloud-based IoT Anomaly Detection over Encrypted Feature Streams158
Model-Free Subsampling Method Based on Uniform Designs158
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective156
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation151
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems148
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark146
Graph Contrastive Learning With Personalized Augmentation146
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data145
Projective Ranking-based GNN Evasion Attacks140
Scalable Identity-Oriented Speech Retrieval136
Generating kk-Hop-Constrained ss-tt Path Graphs134
Generalized Measure-Biased Sampling and Priority Sampling131
Minimum $k$-Vertex Connected Graph Search127
Reinforced Imitative Graph Learning for Mobile User Profiling127
Outdoor Position Recovery From Heterogeneous Telco Cellular Data126
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification124
Attribute Graph Neural Networks for Strict Cold Start Recommendation121
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning120
Learning Discriminative Text Representation for Streaming Social Event Detection120
GraphNAS++: Distributed Architecture Search for Graph Neural Networks118
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning117
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations113
Breaking information granularity heterogeneity: a mutual information-inspired causal discovery framework for multi-rate time series111
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning109
Disentangled Modeling of Social Homophily and Influence for Social Recommendation109
Streaming Graph Embeddings via Incremental Neighborhood Sketching107
Model Inversion Attacks Against Graph Neural Networks107
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification106
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams105
Neural Text Segmentation and its Application to Sentiment Analysis104
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset103
A Similarity-based Framework for Classification Task102
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information101
Preventing Inferences Through Data Dependencies on Sensitive Data100
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity100
Is Sharing Neighbor Generator in Federated Graph Learning Safe?100
Discovery of Cross Joins98
Temporal Graph Multi-Aspect Embeddings98
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing98
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints95
Effortless Locality on Data Systems Using Relational Fabric93
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold93
Pattern-Wise Transparent Sequential Recommendation90
GPU-Accelerated Structural Diversity Search in Graphs90
KnobCF: Uncertainty-aware Knob Tuning89
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation88
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm85
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment82
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