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	1887
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	965
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	877
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	874
Scalable Identity-Oriented Speech Retrieval	711
Minimum $k$k-Vertex Connected Graph Search	691
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	633
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams	617
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	600
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	581
Generalized Measure-Biased Sampling and Priority Sampling	453
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	430
Beyond Predefined Clusters: A Comprehensive Review of Clustering Methods for Unknown Cluster Numbers	368
Exploiting SIMD-Ified Bit-Parallelism for High-Performance Complex Event Matching	354
Learning Idempotent Representation for Subspace Clustering	318
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series	314
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	314
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	291
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	288
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	284
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	272
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	268
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	254
Safety in Graph Machine Learning: Threats and Safeguards	234
Temporal Network Motifs: Models, Limitations, Evaluation	226

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	217
Model Inversion Attacks Against Graph Neural Networks	205
The Expressive Power of Graph Neural Networks: A Survey	198
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	197
Data-Aware Adaptive Compression for Stream Processing	193
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	191
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	179
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	173
Continuous Trajectory Similarity Search for Online Outlier Detection	172
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	170
Dimensionality Reduction for Categorical Data	166
Attribute Graph Neural Networks for Strict Cold Start Recommendation	162
Reinforced Imitative Graph Learning for Mobile User Profiling	159
Model-Free Subsampling Method Based on Uniform Designs	154
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	154
Latent Representation Guided Multi-View Clustering	154
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	153
Generating kk-Hop-Constrained ss-tt Path Graphs	150
Learning Discriminative Text Representation for Streaming Social Event Detection	147
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	145
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	142
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	137
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	129
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	129
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	129
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	128
Simplified Graph Contrastive Learning Model Without Augmentation	126
Graph Contrastive Learning With Personalized Augmentation	126
Preventing Inferences Through Data Dependencies on Sensitive Data	125
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	117
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	117
Effortless Locality on Data Systems Using Relational Fabric	116
GPU-Accelerated Structural Diversity Search in Graphs	115
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	113
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	111
Robust Tensor Completion With Side Information	111
A Unified Perspective for Learning Graph Representations across Multi-Level Abstractions	110
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	108
OKG-LLM: Aligning Ocean Knowledge Graph With Observation Data via LLMs for Global Sea Surface Temperature Prediction	106
Network Controllability Perspectives on Graph Representation	104
Amalur: The Convergence of Data Integration and Machine Learning	103
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	102
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	101
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	101
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	100
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	98
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science With Table-Specific Pretraining	96
Multi-view Fuzzy Representation Learning with Rules based Model	94
Similarity Transitivity Broken-Aware Multi-Modal Hashing	92
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	92

FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	91
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	91
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	91
KnobCF: Uncertainty-Aware Knob Tuning	89
Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction	88
BLITZ: A Flexible and Efficient Graph Mining System	88
Provenance Graph Kernel	88
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	86
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	86
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	86
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	85
Large Language Models are In-Context Molecule Learners	85
Domain-Adversarial Network Alignment	84
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	82
Extracting and Composing Robust Features With Broad Learning System	81
Efficient Radius-Bounded Community Search in Geo-Social Networks	81
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	80
One Size Does Not Fit All: Exploring Variable Thresholds for Distance-Based Multi-Label Text Classification	79
Spatial-Temporal Multimodal Large Language Model for Generative Recommendation in Alipay	79
Pattern-Wise Transparent Sequential Recommendation	78
Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics	78
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	78
WizardEvent: Empowering Event Reasoning by Hybrid Event-Aware Data Synthesizing	76
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	76
Clustering Based on Density Propagation and Subcluster Merging	75
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	73
Temporal Graph Multi-Aspect Embeddings	73
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	72
Efficient Algorithms for Personalized PageRank Computation: A Survey	71
Low-Rank Tensor Learning for Incomplete Multiview Clustering	71
Balanced and Unbalanced Triangle Count in Signed Networks	71
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	69
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	69
Online Outlier Detection in Open Feature Spaces	68
A Survey on Multi-Task Learning	68
Improving Image Similarity Learning by Adding External Memory	66
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	65
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	65
Handling New Class in Online Label Shift	65
Fast Diversified Top-k Rule Discovery via User-Guided Embeddings	64
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	63
DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation	63
Euclidean Distance is Not Your Swiss Army Knife	62
Four-Set Hypergraphlets for Characterization of Directed Hypergraphs	62
Biclique Percolation Communities Computation on Temporal Bipartite Graphs	61
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	61
Knowledge Graph Embedding by Double Limit Scoring Loss	60
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	60
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	59
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	59
Contact Tracing Over Uncertain Indoor Positioning Data	59
Random Deep Graph Matching	59
FRAME: Feature Rectification for Class Imbalance Learning	59
Enhancing Factorization Machines With Generalized Metric Learning	58
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	58
GADE+: A Graph-Based Anchor-Enhanced Framework for Targeted Document Detection	58
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	58
Cross-Lingual Named Entity Recognition Method Based on Multi-Channel and Multi-Teacher Models	58
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	57
TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring	56
Multi-Party Sequential Data Publishing Under Differential Privacy	56
Preference and Constraint Factor Model for Event Recommendation	55
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	55
Bidirectional Attentive Multi-View Clustering	54
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	53
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective	52
pFedMoE: Data-Level Personalization With Mixture of Experts in Model-Heterogeneous Personalized Federated Learning	52
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	51
Enhancing Graph Condensation via Key Information Reconstruction	51
Exploring Flat Minima for Domain Generalization With Large Learning Rates	51
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	51
Parallel Core Maintenance of Dynamic Graphs	51
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	51
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	50
MuDPK: Knowledge Distillation with Multi-Granularity and Dynamic Priors for Graph Classification	50
Refining Codes for Locality Sensitive Hashing	49
A Comprehensive Survey on Dynamic Graph Processing: Storage and Analytics	48
Rethinking Graph Contrastive Learning for Heterophilic Graphs: An Effective Method for Heterophilic GCL Methods With Regularization and Stabilization Techniques Enhanced High-Pass Filter	48
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	47
Contrastive Fidelity-Maximised Explanations for Graph-Based Rumour Detection	47

Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	47
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	47
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	46
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	46
HOFD: An Outdated Fact Detector for Knowledge Bases	46
Differentially Private Triangle Counting in Large Graphs	45
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	45
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	45
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	45
Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network	45
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	45
Detect Professional Malicious User With Metric Learning in Recommender Systems	45
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	44
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	44
Modeling Signed Networks as 2-Layer Growing Networks	44
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	44
GAN-Based Hybrid Sampling Method for Transaction Fraud Detection	44
Sparse Graph Attention Networks	43
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	43
ICAD: Rethinking the Role of Inference and Cues for the Anomaly Detection of Time Series in IIoT	43
Identifying Anomalies While Preserving Privacy	43
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	43
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	43
Motif-Driven Contrastive Learning of Graph Representations	42
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System	42
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	42
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	42
Deep Isolation Forest for Anomaly Detection	42
Adaptive Magnetic-Graph Clustering	41
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	41
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study	40
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement	40
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction	40
Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering	40
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	40
Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification	40
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs	39
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations	39
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	39
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	39
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	39
LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing	39
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing	39
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation	38
Adaptive Change Detection in Partially Observable Dynamic Networks	38
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation	38
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	38
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	38
Personalized Elastic Embedding Learning for On-Device Recommendation	38
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space	38
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach	38
Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach	38
Intent Propagation Contrastive Collaborative Filtering	37
Tensorial Multi-View Clustering via Alternative Rank Minimization and Inter-View Alignment	37
Hierarchical Active Learning With Label Proportions on Data Regions	37
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	37
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks	37
F2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns	37
DMRAD: Dynamic Decomposition and Memory-Aware Reconstruction for Noise-Resilient Multivariate Time Series Anomaly Detection	37
Structure-Aware Subspace Clustering	37
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	36
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm	36
An Experimental Study on Federated Equi-Joins	36
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks	36
Noise-Tolerant Feature Selections Based on Two-Type Weight-Fuzzy Granulations and Three-View Uncertainty Measures	36
Auto-Encoding Neural Tucker Factorization	36
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection	36
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud	35
Self-Supervised Graph Representation Learning via Topology Transformations	35
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation	35
A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction	35
Dynamic Stochastic Reorientation Particle Swarm Optimization for Adaptive Latent Factor Analysis in High-Dimensional Sparse Matrices	35
Model Reuse With Reduced Kernel Mean Embedding Specification	35
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	35
M4Rec: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation	35
Horizontal Multi-Party Data Publishing Under Differential Privacy via Weight-Aware Bidirectional Generative Adversarial Networks	34
LLM-Driven Adversarial Example Synthesis for Emerging Topic Rumor Detection on Social Media	34
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning	34
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey	34
Supervised Feature Selection via Multi-Center and Local Structure Learning	34
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering	34
Automated Graph Neural Network Search Under Federated Learning Framework	34
Automated Transformation of Temporal Conceptual Models into Cassandra Schemas	34
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	34
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	34
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	34
Hierarchy-Aware Adaptive Graph Neural Network	34
MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series	34
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction	33
DASCE: Long-Tailed Data Augmentation Based Sparse Class-Correlation Exploitation	33
Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation	33
Point-of-Interest Recommendation With Global and Local Context	33
On Searching and Querying Maximum Directed (k,ℓ)-Plex	33
A Neural Database for Answering Aggregate Queries on Incomplete Relational Data	33
Camouflaged Variational Graph AutoEncoder against Attribute Inference Attacks for Cross-Domain Recommendation	33