IEEE Transactions on Knowledge and Data Engineering

Article	Citations
HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders	981
ADMH-ER: Adaptive Denoising Multi-Modal Hybrid for Entity Resolution	750
Multi-Behavior Hypergraph Contrastive Learning for Session-Based Recommendation	745
Generating $k$-hop-constrained $s$-$t$ Path Graphs	504
What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences with Features	479
Short Text Topic Learning Using Heterogeneous Information Network	462
Efficient Range and kNN Twin Subsequence Search in Time Series	450
Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity	369
Pattern Hiding and Authorized Searchable Encryption for Data Sharing in Cloud Storage	326
SMPCache: Towards More Efficient SQL Queries in Multi-Party Collaborative Data Analysis	324
Graph Condensation: A Survey	307
Group-aware Dynamic Graph Representation Learning for Next POI Recommendation	296
Are Large Language Models Really Good Logical Reasoners? a Comprehensive Evaluation and Beyond	249
Dynamic Ensemble Framework for Imbalanced Data Classification	224
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding	215
Temporal Network Motifs: Models, Limitations, Evaluation	209
Dual Enhanced Meta-learning with Adaptive Task Scheduler for Cold-Start Recommendation	199
CloudRGK: Towards Private Similarity Measurement between Graphs on the Cloud	184
Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks	180
Discovery of Temporal Network Motifs	172
Exploring Privileged Features for Relation Extraction with Contrastive Student-Teacher Learning	170
2021 Reviewers List	169
Data Lake Organization	164
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	162
Breaking the Expression Bottleneck of Graph Neural Networks	148

Streaming Graph Embeddings via Incremental Neighborhood Sketching	133
A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective	132
Mining Triangle-Dense Subgraphs of a Fixed Size: Hardness, Lovasz extension and ´ Applications	125
Network Representation Lightening from Hashing to Quantization	124
Development of fully convolutional neural networks based on discretization in time series classification	123
Graph Cross-Correlated Network for Recommendation	121
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives	120
Privacy-Preserving Boolean Range Query with Temporal Access Control in Mobile Computing	119
DataOps-4G: On Supporting Generalists in Data Quality Discovery	119
A Similarity-based Framework for Classification Task	118
Learning Holistic Interactions in LBSNs with High-order, Dynamic, and Multi-role Contexts	114
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	114
Single-Source Personalized PageRanks with Workload Robustness	113
Persuade to Click: Context-aware Persuasion Model for Online Textual Advertisement	108
Generating Characteristic Summaries for Entity Descriptions	106
Concept Drift Detection Delay Index	105
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion	103
A Fast Learned Key-Value Store for Concurrent and Distributed Systems	103
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks	102
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method	101
Multi-Dimensional Classification via Decomposed Label Encoding	101
A Truthful Pricing-Based Defending Strategy Against Adversarial Attacks in Budgeted Combinatorial Multi-Armed Bandits	100
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection	98
Maintaining Top-$t$ Cores in Dynamic Graphs	98
Multiple Receding Imputation of Time Series Based on Similar Conditions Screening	97
Fractal Belief Rényi Divergence With its Applications in Pattern Classification	96
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting	95
Learning Discriminative Text Representation for Streaming Social Event Detection	94
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks	94
SpikeLog: Log-Based Anomaly Detection via Potential-Assisted Spiking Neuron Network	93
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis	91
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability	87
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle	86
Truth Discovery by Claim and Source Embedding	86
Link Prediction in Stagewise Graphs	84
A Deep Dual Adversarial Network for Cross-Domain Recommendation	84
Adversarial Attacks Against Deep Generative Models on Data: A Survey	83
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	83
Time Series Anomaly Detection With Adversarial Reconstruction Networks	81
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection	80
Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning	79
Low-Rank Linear Embedding for Robust Clustering	79
Contrastive Graph Representations for Logical Formulas Embedding	77
Vertex Encoding for Edge Nonexistence Determination With SIMD Acceleration	77
Classification in Dynamic Data Streams With a Scarcity of Labels	77
Dimensionality Reduction for Categorical Data	77
Reinforced Path Reasoning for Counterfactual Explainable Recommendation	72
Vertical Federated Learning: Concepts, Advances, and Challenges	71
Personalized Prompt for Sequential Recommendation	71
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network	71

Scalable Identity-Oriented Speech Retrieval	70
Aligning Dynamic Social Networks: An Optimization over Dynamic Graph Autoencoder	70
Data Anonymization With Diversity Constraints	69
DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection	69
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations	67
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer	67
Learning a Structural Causal Model for Intuition Reasoning in Conversation	66
Similar Sports Play Retrieval With Deep Reinforcement Learning	65
MPV: Enabling Fine-Grained Query Authentication in Hybrid-Storage Blockchain	65
Event Detection on Microposts: A Comparison of Four Approaches	65
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network	64
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	64
Answering Skyline Queries Over Incomplete Data With Crowdsourcing	61
Telecom Fraud Detection via Hawkes-enhanced Sequence Model	60
On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets	60
Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning	59
Hide and Mine in Strings: Hardness, Algorithms, and Experiments	57
Heterogeneous Graph Representation Learning with Relation Awareness	56
Clustering With Outlier Removal	56
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration	55
Robust and Consistent Anchor Graph Learning for Multi-View Clustering	54
An Efficient Verification Approach to Separation of Duty in Attribute-Based Access Control	54
Explicit Message-Passing Heterogeneous Graph Neural Network	52
Efficient and Privacy-Preserving Skyline Queries Over Encrypted Data Under a Blockchain-Based Audit Architecture	52
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	52
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification	52
Data-Aware Adaptive Compression for Stream Processing	51
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	51
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	50
Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data	50
HATR-I: Hierarchical Adaptive Temporal Relational Interaction for Stock Trend Prediction	50
CSKG4APT: A Cybersecurity Knowledge Graph for Advanced Persistent Threat Organization Attribution	49
A Data-driven Approach for Scheduling Bus Services Subject To Demand Constraints	48
Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts	48
Secure and High-Quality Watermarking Algorithms for Relational Database Based on Semantic	47
Statistical Tests and Association Measures for Business Processes	47
Latent Representation Guided Multi-View Clustering	47
Feature Selection With Discernibility and Independence Criteria	46
Network Embedding with Dual Generation Tasks	46
Graph Contrastive Learning With Personalized Augmentation	46
Least-Mean-Squares Coresets for Infinite Streams	46
Modeling and Detecting Communities in Node Attributed Networks	46
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	46
Bloom Filter with Noisy Coding Framework for Multi-Set Membership Testing	45
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement	45
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	45
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks	45
Incomplete Multiview Clustering Using Normalizing Alignment Strategy With Graph Regularization	44
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing	44
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks	44
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment	44
PF-HIN:Pre-Training for Heterogeneous Information Networks	44
Nonparametric and Online Change Detection in Multivariate Datastreams Using QuantTree	43
Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures	43
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	43
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	42
The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting	42
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering	42
H-Diffu: Hyperbolic Representations for Information Diffusion Prediction	41
Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning	41
Dynamic Graph Regularization for Multi-Stream Concept Drift Self-Adaptation	41
Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness	41
CS-DAHIN: Community Search Over Dynamic Attribute Heterogeneous Network	40
Decentralized Privacy Preservation for Critical Connections in Graphs	40
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation	40
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks	40
CheetahTraj: Efficient Visualization for Large Trajectory Dataset With Quality Guarantee	40
Model Inversion Attacks Against Graph Neural Networks	40
A Diversified Attention Model for Interpretable Multiple Clusterings	39
D&A: Resource Optimization in Personalized PageRank Computations Using Multi-Core Machines	39
Mutual Information-Guided GA for Bayesian Network Structure Learning	39
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	39
Projective Ranking-based GNN Evasion Attacks	39
Solving the Imbalanced Problem by Metric Learning and Oversampling	38
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning	38
Deep Learning for Approximate Nearest Neighbour Search: A Survey and Future Directions	38
A Survey on Deep Semi-Supervised Learning	38
Persistence-Based Motif Discovery in Time Series	38
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	37
Road-aware Indexing for Trajectory Range Queries	37

AdaBoost-Stacking Based on Incremental Broad Learning System	37
Symmetrical Self-Representation and Data-Grouping Strategy for Unsupervised Feature Selection	37
Repulsion-GNNs:Use Repulsion to Supplement Aggregation	37
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering	37
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	37
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation	36
Imbalanced Node Classification With Synthetic Over-Sampling	36
Spectral Adversarial Training for Robust Graph Neural Network	36
Hyperbolic Neural Collaborative Recommender	36
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation	36
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	36
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning	35
Robust Multi-View Clustering With Noisy Correspondence	35
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News	34
Self-Learning Symmetric Multi-View Probabilistic Clustering	34
Decision Tree Learning for Uncertain Clinical Measurements	34
Land Use Classification With Point of Interests and Structural Patterns	34
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification	33
Collaborative Learning for Extremely Low Bit Asymmetric Hashing	33
Neural Named Entity Boundary Detection	33
Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation	32
Imbalanced Clustering With Theoretical Learning Bounds	32
Adaptive Diffusion of Sensitive Information in Online Social Networks	32
Neural Text Segmentation and its Application to Sentiment Analysis	32
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks	32
A Trend of AI Conference Convergence in Similarity: An Empirical Study Through Trans-Temporal Heterogeneous Graph	32
Learning Vertex Representations for Bipartite Networks	32
Lamps: Location-Aware Moving Top-k Pub/Sub	32
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution	32
Domain Adaptation on Graphs by Learning Aligned Graph Bases	31
Cross-Database Micro-Expression Recognition: A Benchmark	31
Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks	31
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	31
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework	30
A Methodology to Quickly Perform Opinion Mining and Build Supervised Datasets Using Social Networks Mechanics	30
An Efficient Data Structure for Dynamic Graph on GPUs	30
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation	30
Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data	30
Leveraging Currency for Repairing Inconsistent and Incomplete Data	30
Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn	29
DP2-Pub: Differentially Private High-Dimensional Data Publication With Invariant Post Randomization	29
Encoding High-Cardinality String Categorical Variables	29
An Effective Imbalanced JPEG Steganalysis Scheme Based on Adaptive Cost-Sensitive Feature Learning	29
Learning Region Similarities via Graph-Based Deep Metric Learning	29
On Atomicity and Confidentiality Across Blockchains Under Failures	28
Database Meets Artificial Intelligence: A Survey	28
Cost-Sensitive Online Adaptive Kernel Learning for Large-Scale Imbalanced Classification	28
Summarizing Provenance of Aggregate Query Results in Relational Databases	28
Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture	28
Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval	28
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity	28
Top-$k$ Community Similarity Search Over Large-Scale Road Networks	28
On the Performance Intricacies of Persistent Memory Aware Storage Engines	28
Robust Bidirectional Poly-Matching	28
Magnitude Bounded Matrix Factorisation for Recommender Systems	27
Modeling Spatial Trajectories With Attribute Representation Learning	27
Automatic Database Knob Tuning: A Survey	27
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction	27
Towards More General Loss and Setting in Unsupervised Domain Adaptation	27
Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation	27
Embedded Transaction Support Inside SSD With Small-Capacity Non-Volatile Disk Cache	27
GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs	26
Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency	26
Reveal Your Images: Gradient Leakage Attack Against Unbiased Sampling-Based Secure Aggregation	26
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence	26
Graph Matching Via the Lens of Supermodularity	26
HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery	25
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination	25
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation	25
Gradual Machine Learning for Entity Resolution	25
Efficient Community Search in Edge-Attributed Graphs	25
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation	24
Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter	24
Karst: Transactional Data Ingestion Without Blocking on a Scalable Architecture	24
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	24
Reinforced Imitative Graph Learning for Mobile User Profiling	24
Semantic Interpretation of Top-N Recommendations	24
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework	24
Interpretation of Structural Preservation in Low-Dimensional Embeddings	24
A New Approach for Semi-External Topological Sorting on Big Graphs	23
Self-Supervised Learning for Recommender Systems: A Survey	23
CT-Auth: Capacitive Touchscreen-Based Continuous Authentication on Smartphones	23
Learning Deep Graph Representations via Convolutional Neural Networks	23
MSDS: A Novel Framework for Multi-Source Data Selection Based Cross-Network Node Classification	23
OMG: Towards Effective Graph Classification Against Label Noise	23
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning	23
Broad Learning Autoencoder With Graph Structure for Data Clustering	23
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks	22
Extracting Top-$k$ Frequent and Diversified Patterns in Knowledge Graphs	22
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	22
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation	22
Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates	22
Periodic Communities Mining in Temporal Networks: Concepts and Algorithms	22
Elastic Multi-view Subspace Clustering with Pairwise and High-order Correlations	22
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets	22