IEEE Transactions on Knowledge and Data Engineering

Article	Citations
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	2009
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	1056
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	1039
Scalable Identity-Oriented Speech Retrieval	923
Minimum $k$k-Vertex Connected Graph Search	747
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams	743
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	680
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	667
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	631
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	616
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	513
Reinforced Imitative Graph Learning for Mobile User Profiling	485
Latent Representation Guided Multi-View Clustering	423
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	402
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	378
Safety in Graph Machine Learning: Threats and Safeguards	355
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	337
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	333
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	326
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	317
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	285
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	277
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	275
Temporal Network Motifs: Models, Limitations, Evaluation	241
Learning Discriminative Text Representation for Streaming Social Event Detection	236

Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series	235
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	226
Model-Free Subsampling Method Based on Uniform Designs	219
Learning Idempotent Representation for Subspace Clustering	218
Graph Contrastive Learning With Personalized Augmentation	212
Generating kk-Hop-Constrained ss-tt Path Graphs	206
Exploiting SIMD-Ified Bit-Parallelism for High-Performance Complex Event Matching	182
Continuous Trajectory Similarity Search for Online Outlier Detection	181
Generalized Measure-Biased Sampling and Priority Sampling	181
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	181
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	173
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	172
Simplified Graph Contrastive Learning Model Without Augmentation	171
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	169
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	166
Model Inversion Attacks Against Graph Neural Networks	165
Knowledge Graph-Based Debiasing for Trustworthy Recommendation Systems	164
Efficient Minimum $k$-Truss Search: A Decomposition-Based Approach	162
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	160
Granular-Ball-Induced Noise-Tolerant Discernibility Indexes for Fuzzy $\beta$ Covering Decision Systems and Feature Subset Selection	149
The Expressive Power of Graph Neural Networks: A Survey	147
Dimensionality Reduction for Categorical Data	146
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	144
Data-Aware Adaptive Compression for Stream Processing	138
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	132
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	132
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	131
Attribute Graph Neural Networks for Strict Cold Start Recommendation	130
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	130
Beyond Predefined Clusters: A Comprehensive Review of Clustering Methods for Unknown Numbers of Clusters	128
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	127
GPU-Accelerated Structural Diversity Search in Graphs	124
Effortless Locality on Data Systems Using Relational Fabric	124
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	124
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	123
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	122
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	121
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	117
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	117
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	114
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science With Table-Specific Pretraining	114
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	114
Multi-view Fuzzy Representation Learning with Rules based Model	112
Similarity Transitivity Broken-Aware Multi-Modal Hashing	111
Provenance Graph Kernel	109
KnobCF: Uncertainty-Aware Knob Tuning	109
BLITZ: A Flexible and Efficient Graph Mining System	108
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	104
Efficient Radius-Bounded Community Search in Geo-Social Networks	100
Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics	100

Spatial-Temporal Multimodal Large Language Model for Generative Recommendation in Alipay	100
Pattern-Wise Transparent Sequential Recommendation	99
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	99
WizardEvent: Empowering Event Reasoning by Hybrid Event-Aware Data Synthesizing	98
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	96
Clustering Based on Density Propagation and Subcluster Merging	95
Temporal Graph Multi-Aspect Embeddings	95
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	94
A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions	93
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	92
One Size Does Not Fit All: Exploring Variable Thresholds for Distance-Based Multi-Label Text Classification	91
Low-Rank Tensor Learning for Incomplete Multiview Clustering	89
Balanced and Unbalanced Triangle Count in Signed Networks	88
Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction	87
OKG-LLM: Aligning Ocean Knowledge Graph With Observation Data via LLMs for Global Sea Surface Temperature Prediction	87
Amalur: The Convergence of Data Integration and Machine Learning	85
Robust Tensor Completion With Side Information	84
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	84
Network Controllability Perspectives on Graph Representation	83
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	83
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	82
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	81
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	80
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	80
Preventing Inferences Through Data Dependencies on Sensitive Data	80
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	78
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	78
Efficient Algorithms for Personalized PageRank Computation: A Survey	77
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	75
Extracting and Composing Robust Features With Broad Learning System	74
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	73
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	73
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	73
Large Language Models are In-Context Molecule Learners	72
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	72
A Survey on Multi-Task Learning	71
Improving Image Similarity Learning by Adding External Memory	70
Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning	69
MVDG++: A Unified Multi-view Framework for Domain Generalization	68
Multi-Party Sequential Data Publishing Under Differential Privacy	68
ICAD: Rethinking the Role of Inference and Cues for the Anomaly Detection of Time Series in IIoT	67
Knowledge Graph Embedding by Double Limit Scoring Loss	67
Four-Set Hypergraphlets for Characterization of Directed Hypergraphs	66
CoNR-Miner: Self-Adaptive Co-Occurrence Nonoverlapping Sequential Rule Mining	66
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	65
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	65
Random Deep Graph Matching	65
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	65
GAN-Based Hybrid Sampling Method for Transaction Fraud Detection	65
Fast Diversified Top-k Rule Discovery via User-Guided Embeddings	64
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	64
DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation	64
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	64
Contact Tracing Over Uncertain Indoor Positioning Data	63
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	63
Biclique Percolation Communities Computation on Temporal Bipartite Graphs	63
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	62
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	62
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	62
Enhancing Factorization Machines With Generalized Metric Learning	60
Cross-Lingual Named Entity Recognition Method Based on Multi-Channel and Multi-Teacher Models	60
Exploring Flat Minima for Domain Generalization With Large Learning Rates	59
TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring	59
Parallel Core Maintenance of Dynamic Graphs	59
Preference and Constraint Factor Model for Event Recommendation	59
Enhancing Graph Condensation via Key Information Reconstruction	58
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	56
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	56
A Comprehensive Survey on Dynamic Graph Processing: Storage and Analytics	55
Contrastive Fidelity-Maximised Explanations for Graph-Based Rumour Detection	55
Rethinking Graph Contrastive Learning for Heterophilic Graphs: An Effective Method for Heterophilic GCL Methods With Regularization and Stabilization Techniques Enhanced High-Pass Filter	55
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	54
Pretrained Model Recommendation for Downstream Fine-tuning	54
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	54
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	54
Differentially Private Triangle Counting in Large Graphs	54
HOFD: An Outdated Fact Detector for Knowledge Bases	54
Bidirectional Attentive Multi-View Clustering	53
Detect Professional Malicious User With Metric Learning in Recommender Systems	52
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	52

Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	52
Identifying Anomalies While Preserving Privacy	52
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	51
GADE+: A Graph-Based Anchor-Enhanced Framework for Targeted Document Detection	50
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	50
Online Outlier Detection in Open Feature Spaces	50
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	50
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	50
Handling New Class in Online Label Shift	50
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective	49
TFT-GCN: A Time-Frequency Based Model for Time Series Anomaly Detection	49
Multi-Kernelized Fuzzy Granular Outlier Detector	49
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	49
Incorporating Realistic Margin Constraints: A Data-Driven Deep Reinforcement Learning Framework for Advanced Portfolio Management	48
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	48
FRAME: Feature Rectification for Class Imbalance Learning	48
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	47
MuDPK: Knowledge Distillation With Multi-Granularity and Dynamic Priors for Graph Classification	47
Refining Codes for Locality Sensitive Hashing	47
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	47
Euclidean Distance is Not Your Swiss Army Knife	46
pFedMoE: Data-Level Personalization With Mixture of Experts in Model-Heterogeneous Personalized Federated Learning	46
Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network	46
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	46
Discrete Robust Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval	46
Motif-Driven Contrastive Learning of Graph Representations	45
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	45
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	45
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	45
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	45
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	44
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	44
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	43
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	43
Sparse Graph Attention Networks	43
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	43
Deep Isolation Forest for Anomaly Detection	43
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System	43
Adaptive Magnetic-Graph Clustering	42
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	42
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	42
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs	42
Personalized Elastic Embedding Learning for On-Device Recommendation	42
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction	42
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	42
Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach	42
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space	41
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	41
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory	41
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks	41
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach	41
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation	41
Adaptive Change Detection in Partially Observable Dynamic Networks	41
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	41
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing	41
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	41
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	40
Structure-Aware Subspace Clustering	40
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	40
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning	40
Auto-Encoding Neural Tucker Factorization	40
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	39
Dynamic Stochastic Reorientation Particle Swarm Optimization for Adaptive Latent Factor Analysis in High-Dimensional Sparse Matrices	39
Model Reuse With Reduced Kernel Mean Embedding Specification	39
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud	39
Automated Graph Neural Network Search Under Federated Learning Framework	39
M4Rec: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation	39
An Experimental Study on Federated Equi-Joins	39
Self-Supervised Graph Representation Learning via Topology Transformations	39
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement	39
Noise-Tolerant Feature Selections Based on Two-Type Weight-Fuzzy Granulations and Three-View Uncertainty Measures	39
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation	38
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study	38
Tensorial Multi-View Clustering via Alternative Rank Minimization and Inter-View Alignment	38
Horizontal Multi-Party Data Publishing Under Differential Privacy via Weight-Aware Bidirectional Generative Adversarial Networks	38
Hierarchical Active Learning With Label Proportions on Data Regions	38
LLM-Driven Adversarial Example Synthesis for Emerging Topic Rumor Detection on Social Media	38
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm	38
Accelerating Top-K Subgraph Matching With Topology-Aware Pruning and Parallel Processing	37
Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering	37
Intent Propagation Contrastive Collaborative Filtering	37
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering	37
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	37
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection	37
Supervised Feature Selection via Multi-Center and Local Structure Learning	37
DMRAD: Dynamic Decomposition and Memory-Aware Reconstruction for Noise-Resilient Multivariate Time Series Anomaly Detection	37
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	37
F2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns	37
Automated Transformation of Temporal Conceptual Models Into Cassandra Schemas	37
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	37
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation	37
LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing	37
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks	37
CAGS: Context-Aware Document Ranking With Contrastive Graph Sampling	36
Multilingual Taxonomic Web Page Categorization Through Ensemble Knowledge Distillation	36