IEEE Transactions on Knowledge and Data Engineering

Article	Citations
Generating $k$-hop-constrained $s$-$t$ Path Graphs	1081
HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders	800
Snoopy: Effective and Efficient Semantic Join Discovery via Proxy Columns	798
Efficient and Accurate Spatial Queries Using Lossy Compressed 3D Geometry Data	532
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs	525
Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm Detection	522
LUNA: Efficient Backward-Private Dynamic Symmetric Searchable Encryption Scheme With Secure Deletion in Encrypted Database	483
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond	397
Self-Learning Symmetric Multi-View Probabilistic Clustering	396
Dual Enhanced Meta-Learning With Adaptive Task Scheduler for Cold-Start Recommendation	358
Graph Condensation: A Survey	356
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding	337
SMPCache: Towards More Efficient SQL Queries in Multi-Party Collaborative Data Analysis	277
Improving Sequential Recommendations Via Bidirectional Temporal Data Augmentation With Pre-Training	263
A Novel Expandable Borderline Smote Oversampling Method for Class Imbalance Problem	259
Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks	226
CloudRGK: Towards Private Similarity Measurement Between Graphs on the Cloud	206
What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences with Features	193
Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter	189
Robust and Consistent Anchor Graph Learning for Multi-View Clustering	183
An Efficient and Distributed Framework for Real-Time Trajectory Stream Clustering	177
Fractal Belief Rényi Divergence With its Applications in Pattern Classification	175
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks	172
CSKG4APT: A Cybersecurity Knowledge Graph for Advanced Persistent Threat Organization Attribution	171
Dimensionality Reduction for Categorical Data	159

Road-aware Indexing for Trajectory Range Queries	157
Short Text Topic Learning Using Heterogeneous Information Network	156
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	153
Efficient Range and kNN Twin Subsequence Search in Time Series	148
Multi-Behavior Hypergraph Contrastive Learning for Session-Based Recommendation	143
Dynamic Ensemble Framework for Imbalanced Data Classification	141
ADMH-ER: Adaptive Denoising Multi-Modal Hybrid for Entity Resolution	141
Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity	132
Group-aware Dynamic Graph Representation Learning for Next POI Recommendation	125
Discovery of Temporal Network Motifs	125
Pattern Hiding and Authorized Searchable Encryption for Data Sharing in Cloud Storage	123
2021 Reviewers List	122
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting	121
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution	121
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	120
STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting	119
MPV: Enabling Fine-Grained Query Authentication in Hybrid-Storage Blockchain	115
Latent Representation Guided Multi-View Clustering	112
Time Series Anomaly Detection With Adversarial Reconstruction Networks	112
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity	109
Global Combination and Clustering Based Differential Privacy Mixed Data Publishing	106
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	105
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering	105
Data Lake Organization	105
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting	105
A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective	103
Streaming Graph Embeddings via Incremental Neighborhood Sketching	103
Breaking the Expression Bottleneck of Graph Neural Networks	103
Multi-Task Weakly Supervised Learning for Origin–Destination Travel Time Estimation	102
Mining Triangle-Dense Subgraphs of a Fixed Size: Hardness, Lovasz extension and ´ Applications	102
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding	102
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks	101
Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation	99
Database Meets Artificial Intelligence: A Survey	96
Multi-Task Learning for Influence Estimation and Maximization	96
Solving the Imbalanced Problem by Metric Learning and Oversampling	95
H-Diffu: Hyperbolic Representations for Information Diffusion Prediction	94
Network Representation Lightening from Hashing to Quantization	90
Temporal Network Motifs: Models, Limitations, Evaluation	86
Development of fully convolutional neural networks based on discretization in time series classification	86
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives	86
Privacy-Preserving Boolean Range Query with Temporal Access Control in Mobile Computing	84
Graph Cross-Correlated Network for Recommendation	84
DataOps-4G: On Supporting Generalists in Data Quality Discovery	82
A Similarity-based Framework for Classification Task	81
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions	80
Multiscale Weisfeiler-Leman Directed Graph Neural Networks for Prerequisite-Link Prediction	79
Quality Inference Based Task Assignment in Mobile Crowdsensing	77
Broad Learning Autoencoder With Graph Structure for Data Clustering	76
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network	76

Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement	76
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer	74
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing	74
Automatic Database Knob Tuning: A Survey	72
Learning Holistic Interactions in LBSNs with High-order, Dynamic, and Multi-role Contexts	72
Bidirectional String Anchors for Improved Text Indexing and Top-$K$ Similarity Search	71
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	71
HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery	69
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	68
A Survey of Knowledge Enhanced Pre-Trained Language Models	68
Single-Source Personalized PageRanks with Workload Robustness	68
Generating Characteristic Summaries for Entity Descriptions	67
Persuade to Click: Context-aware Persuasion Model for Online Textual Advertisement	67
Concept Drift Detection Delay Index	65
Formal Analysis and Estimation of Chance in Datasets Based on Their Properties	64
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	64
Learnable Model Augmentation Contrastive Learning for Sequential Recommendation	63
Fast Approximated Multiple Kernel K-Means	62
Generalized Measure-Biased Sampling and Priority Sampling	62
AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining	62
End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment	60
Discovering and Analyzing Contextual Behavioral Patterns From Event Logs	59
Multi-Dimensional Classification via Decomposed Label Encoding	58
WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm	58
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method	58
A Truthful Pricing-Based Defending Strategy Against Adversarial Attacks in Budgeted Combinatorial Multi-Armed Bandits	57
Learning Discriminative Text Representation for Streaming Social Event Detection	56
Multiple Receding Imputation of Time Series Based on Similar Conditions Screening	56
Maintaining Top-$t$ Cores in Dynamic Graphs	56
SpikeLog: Log-Based Anomaly Detection via Potential-Assisted Spiking Neuron Network	55
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability	54
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis	54
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle	53
Link Prediction in Stagewise Graphs	53
A Deep Dual Adversarial Network for Cross-Domain Recommendation	53
SUHDSA: Secure, Useful, and High-Performance Data Stream Anonymization	52
Low-Rank Linear Embedding for Robust Clustering	52
Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling	52
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	52
Maximal Clique Search in Weighted Graphs	52
Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning	52
High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation	51
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery	51
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	50
Vertex Encoding for Edge Nonexistence Determination With SIMD Acceleration	50
Multi-Modal Correction Network for Recommendation	50
Accurate and Scalable Graph Convolutional Networks for Recommendation Based on Subgraph Propagation	50
Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering	50
Contrastive Graph Representations for Logical Formulas Embedding	49
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network	49
Reinforced Path Reasoning for Counterfactual Explainable Recommendation	49
Classification in Dynamic Data Streams With a Scarcity of Labels	49
Personalized Prompt for Sequential Recommendation	49
DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection	48
Learning a Structural Causal Model for Intuition Reasoning in Conversation	48
Scalable Identity-Oriented Speech Retrieval	48
Data Anonymization With Diversity Constraints	48
Similar Sports Play Retrieval With Deep Reinforcement Learning	47
Event Detection on Microposts: A Comparison of Four Approaches	47
On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets	46
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	46
Telecom Fraud Detection via Hawkes-enhanced Sequence Model	45
Hide and Mine in Strings: Hardness, Algorithms, and Experiments	44
Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning	44
Heterogeneous Graph Representation Learning with Relation Awareness	44
Explicit Message-Passing Heterogeneous Graph Neural Network	43
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification	43
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	43
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration	43
An Efficient Verification Approach to Separation of Duty in Attribute-Based Access Control	43
Efficient and Privacy-Preserving Skyline Queries Over Encrypted Data Under a Blockchain-Based Audit Architecture	43
A Data-driven Approach for Scheduling Bus Services Subject To Demand Constraints	42
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	42
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	42
Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts	42
Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data	42
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	41
Statistical Tests and Association Measures for Business Processes	41
Network Embedding with Dual Generation Tasks	41
Secure and High-Quality Watermarking Algorithms for Relational Database Based on Semantic	41

Least-Mean-Squares Coresets for Infinite Streams	41
Bloom Filter with Noisy Coding Framework for Multi-Set Membership Testing	40
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	40
Modeling and Detecting Communities in Node Attributed Networks	40
PF-HIN:Pre-Training for Heterogeneous Information Networks	40
Feature Selection With Discernibility and Independence Criteria	40
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment	40
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	39
Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures	39
Nonparametric and Online Change Detection in Multivariate Datastreams Using QuantTree	39
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks	39
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	38
Dynamic Graph Regularization for Multi-Stream Concept Drift Self-Adaptation	38
Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning	38
Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness	38
CS-DAHIN: Community Search Over Dynamic Attribute Heterogeneous Network	37
CheetahTraj: Efficient Visualization for Large Trajectory Dataset With Quality Guarantee	37
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation	37
Model Inversion Attacks Against Graph Neural Networks	37
Decentralized Privacy Preservation for Critical Connections in Graphs	36
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	36
D&A: Resource Optimization in Personalized PageRank Computations Using Multi-Core Machines	36
Projective Ranking-based GNN Evasion Attacks	36
A Diversified Attention Model for Interpretable Multiple Clusterings	36
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks	36
Mutual Information-Guided GA for Bayesian Network Structure Learning	36
Persistence-Based Motif Discovery in Time Series	35
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning	35
Deep Learning for Approximate Nearest Neighbour Search: A Survey and Future Directions	35
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	34
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	34
Symmetrical Self-Representation and Data-Grouping Strategy for Unsupervised Feature Selection	34
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering	34
Repulsion-GNNs:Use Repulsion to Supplement Aggregation	34
AdaBoost-Stacking Based on Incremental Broad Learning System	34
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	33
Meta Auxiliary Learning for Top-K Recommendation	33
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation	33
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation	33
Efficient Unsupervised Graph Embedding With Attributed Graph Reduction and Dual-Level Loss	32
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning	32
Hyperbolic Neural Collaborative Recommender	32
Imbalanced Node Classification With Synthetic Over-Sampling	32
Robust Multi-View Clustering With Noisy Correspondence	32
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	31
Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer	31
Deep Multi-Task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting	31
Fine-Grained Semantics Enhanced Contrastive Learning for Graphs	30
Human-AI Interaction: Human Behavior Routineness Shapes AI Performance	30
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	30
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	30
Information Cascade Popularity Prediction via Probabilistic Diffusion	30
Cohesive Subgraph Discovery Over Uncertain Bipartite Graphs	30
Large-Scale Nodes Classification With Deep Aggregation Network	29
Comparison Queries Generation Using Mathematical Programming for Exploratory Data Analysis	29
Finding Route Hotspots in Large Labeled Networks	29
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size	29
Privacy-Preserving Stochastic Gradual Learning	28
Neural Named Entity Boundary Detection	28
Land Use Classification With Point of Interests and Structural Patterns	28
Decision Tree Learning for Uncertain Clinical Measurements	28
Adaptive Diffusion of Sensitive Information in Online Social Networks	28
Group-Based Skyline for Pareto Optimal Groups	28
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection	28
Collaborative Learning for Extremely Low Bit Asymmetric Hashing	28
Imbalanced Clustering With Theoretical Learning Bounds	27
Cross-Database Micro-Expression Recognition: A Benchmark	27
Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data	27
Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks	27
Lamps: Location-Aware Moving Top-k Pub/Sub	27
Learning Vertex Representations for Bipartite Networks	27
A Trend of AI Conference Convergence in Similarity: An Empirical Study Through Trans-Temporal Heterogeneous Graph	27
Leveraging Currency for Repairing Inconsistent and Incomplete Data	27
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks	27
Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation	27
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework	27
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation	27
DP2-Pub: Differentially Private High-Dimensional Data Publication With Invariant Post Randomization	26
A Methodology to Quickly Perform Opinion Mining and Build Supervised Datasets Using Social Networks Mechanics	26
Learning Region Similarities via Graph-Based Deep Metric Learning	26
Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn	26
On Atomicity and Confidentiality Across Blockchains Under Failures	26
An Effective Imbalanced JPEG Steganalysis Scheme Based on Adaptive Cost-Sensitive Feature Learning	26
An Efficiently Updatable Path Oracle for Terrain Surfaces	25
Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval	25
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	25
Cost-Sensitive Online Adaptive Kernel Learning for Large-Scale Imbalanced Classification	25
Top-$k$ Community Similarity Search Over Large-Scale Road Networks	25
In Search of a Memory-Efficient Framework for Online Cardinality Estimation	25
Summarizing Provenance of Aggregate Query Results in Relational Databases	25
Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture	25
Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation	24
Magnitude Bounded Matrix Factorisation for Recommender Systems	24
Modeling Spatial Trajectories With Attribute Representation Learning	24
Embedded Transaction Support Inside SSD With Small-Capacity Non-Volatile Disk Cache	24