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	1845
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	935
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	858
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	820
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	701
Learning Discriminative Text Representation for Streaming Social Event Detection	672
Latent Representation Guided Multi-View Clustering	623
Model-Free Subsampling Method Based on Uniform Designs	598
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	587
Data-Aware Adaptive Compression for Stream Processing	569
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	435
Generating kk-Hop-Constrained ss-tt Path Graphs	411
Beyond Predefined Clusters: A Comprehensive Review of Clustering Methods for Unknown Cluster Numbers	358
Graph Contrastive Learning With Personalized Augmentation	339
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	314
Minimum $k$k-Vertex Connected Graph Search	313
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	306
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	294
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series	286
Attribute Graph Neural Networks for Strict Cold Start Recommendation	276
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	275
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	268
Simplified Graph Contrastive Learning Model Without Augmentation	265
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	250
The Expressive Power of Graph Neural Networks: A Survey	234

AIM: Automatic Interaction Machine for Click-Through Rate Prediction	219
Dimensionality Reduction for Categorical Data	210
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	200
Model Inversion Attacks Against Graph Neural Networks	195
Reinforced Imitative Graph Learning for Mobile User Profiling	191
Continuous Trajectory Similarity Search for Online Outlier Detection	189
Generalized Measure-Biased Sampling and Priority Sampling	187
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	186
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	178
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	171
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	169
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	164
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	163
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams	160
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	159
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	148
Scalable Identity-Oriented Speech Retrieval	147
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	146
Exploiting SIMD-Ified Bit-Parallelism for High-Performance Complex Event Matching	145
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	145
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	144
Learning Idempotent Representation for Subspace Clustering	140
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	140
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	137
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	136
Temporal Network Motifs: Models, Limitations, Evaluation	132
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	128
Safety in Graph Machine Learning: Threats and Safeguards	128
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	125
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	125
Preventing Inferences Through Data Dependencies on Sensitive Data	125
Effortless Locality on Data Systems Using Relational Fabric	124
GPU-Accelerated Structural Diversity Search in Graphs	120
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	115
Spatial-Temporal Multimodal Large Language Model for Generative Recommendation in Alipay	111
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	111
Large Language Models are In-Context Molecule Learners	110
Robust Tensor Completion With Side Information	108
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	107
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	106
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	104
Amalur: The Convergence of Data Integration and Machine Learning	104
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	104
Multi-view Fuzzy Representation Learning with Rules based Model	104
KnobCF: Uncertainty-Aware Knob Tuning	100
WizardEvent: Empowering Event Reasoning by Hybrid Event-Aware Data Synthesizing	98
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	97
Provenance Graph Kernel	95
Balanced and Unbalanced Triangle Count in Signed Networks	95
BLITZ: A Flexible and Efficient Graph Mining System	94

Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction	94
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	93
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	93
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	92
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	90
Temporal Graph Multi-Aspect Embeddings	88
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	87
A Unified Perspective for Learning Graph Representations across Multi-Level Abstractions	87
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	86
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	86
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	86
Similarity Transitivity Broken-Aware Multi-Modal Hashing	83
OKG-LLM: Aligning Ocean Knowledge Graph With Observation Data via LLMs for Global Sea Surface Temperature Prediction	83
Network Controllability Perspectives on Graph Representation	82
Domain-Adversarial Network Alignment	82
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	81
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	81
Low-Rank Tensor Learning for Incomplete Multiview Clustering	81
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	81
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	81
Pattern-Wise Transparent Sequential Recommendation	80
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	80
Clustering Based on Density Propagation and Subcluster Merging	78
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science With Table-Specific Pretraining	76
One Size Does Not Fit All: Exploring Variable Thresholds for Distance-Based Multi-Label Text Classification	76
Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics	76
Extracting and Composing Robust Features With Broad Learning System	75
Efficient Radius-Bounded Community Search in Geo-Social Networks	75
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	74
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	73
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	72
Efficient Algorithms for Personalized PageRank Computation: A Survey	71
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	71
Online Outlier Detection in Open Feature Spaces	70
A Survey on Multi-Task Learning	70
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	70
Handling New Class in Online Label Shift	68
Improving Image Similarity Learning by Adding External Memory	68
Contact Tracing Over Uncertain Indoor Positioning Data	67
Euclidean Distance is Not Your Swiss Army Knife	67
Random Deep Graph Matching	66
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	65
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	65
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective	64
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	64
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	63
Parallel Core Maintenance of Dynamic Graphs	62
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	62
FRAME: Feature Rectification for Class Imbalance Learning	60
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	60
Differentially Private Triangle Counting in Large Graphs	60
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	60
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	59
Four-set Hypergraphlets for Characterization of Directed Hypergraphs	59
TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring	58
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	58
Enhancing Graph Condensation via Key Information Reconstruction	58
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	58
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	58
Exploring Flat Minima for Domain Generalization With Large Learning Rates	58
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	58
Multi-Party Sequential Data Publishing Under Differential Privacy	57
Identifying Anomalies While Preserving Privacy	56
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	56
Enhancing Factorization Machines With Generalized Metric Learning	56
Cross-Lingual Named Entity Recognition Method Based on Multi-Channel and Multi-Teacher Models	54
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	54
GADE+: A Graph-Based Anchor-Enhanced Framework for Targeted Document Detection	53
Preference and Constraint Factor Model for Event Recommendation	52
Biclique Percolation Communities Computation on Temporal Bipartite Graphs	52
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	52
Bidirectional Attentive Multi-View Clustering	51
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	51
Exploiting Data Skew for Improved Query Performance	51
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	51
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	50
Fast Diversified Top-k Rule Discovery via User-Guided Embeddings	49
DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation	49
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	49
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	48

Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	47
Modeling Signed Networks as 2-Layer Growing Networks	46
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	46
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	46
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	46
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	46
GAN-Based Hybrid Sampling Method for Transaction Fraud Detection	46
Contrastive Fidelity-Maximised Explanations for Graph-Based Rumour Detection	45
Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network	45
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	45
Sparse Graph Attention Networks	45
Motif-Driven Contrastive Learning of Graph Representations	44
A Comprehensive Survey on Dynamic Graph Processing: Storage and Analytics	44
HOFD: An Outdated Fact Detector for Knowledge Bases	44
Rethinking Graph Contrastive Learning for Heterophilic Graphs: An Effective Method for Heterophilic GCL Methods With Regularization and Stabilization Techniques Enhanced High-Pass Filter	44
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	44
Refining Codes for Locality Sensitive Hashing	44
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	44
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	44
Detect Professional Malicious User With Metric Learning in Recommender Systems	44
MuDPK: Knowledge Distillation with Multi-Granularity and Dynamic Priors for Graph Classification	43
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	43
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	42
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	42
Knowledge Graph Embedding by Double Limit Scoring Loss	42
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	42
pFedMoE: Data-Level Personalization With Mixture of Experts in Model-Heterogeneous Personalized Federated Learning	42
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	42
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	42
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System	41
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	41
Deep Isolation Forest for Anomaly Detection	41
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	40
Adaptive Magnetic-Graph Clustering	40
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement	40
KGGen: A Generative Approach for Incipient Knowledge Graph Population	40
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning	40
MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series	40
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	39
Horizontal Multi-Party Data Publishing Under Differential Privacy Via Weight-Aware Bidirectional Generative Adversarial Networks	38
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction	38
Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering	38
Supervised Feature Selection via Multi-Center and Local Structure Learning	38
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	38
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	38
Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification	38
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory	38
Feature and Nuclear Norm Minimization for Matrix Completion	38
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study	38
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks	38
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	37
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	37
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs	37
Personalized Elastic Embedding Learning for On-Device Recommendation	36
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	36
LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing	36
Noise-Tolerant Feature Selections Based on Two-Type Weight-Fuzzy Granulations and Three-View Uncertainty Measures	36
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations	36
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation	36
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing	36
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	35
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach	35
Intent Propagation Contrastive Collaborative Filtering	35
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation	35
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	35
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	35
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	35
Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach	35
Adaptive Change Detection in Partially Observable Dynamic Networks	35
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space	35
LLM-Driven Adversarial Example Synthesis for Emerging Topic Rumor Detection on Social Media	35
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering	34
Topic-Guided Conversational Recommender in Multiple Domains	34
Tensorial Multi-View Clustering via Alternative Rank Minimization and Inter-View Alignment	34
DMRAD: Dynamic Decomposition and Memory-Aware Reconstruction for Noise-Resilient Multivariate Time Series Anomaly Detection	34
Hierarchy-Aware Adaptive Graph Neural Network	34
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks	34
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud	34
Automated Graph Neural Network Search Under Federated Learning Framework	33
Hierarchical Active Learning With Label Proportions on Data Regions	33
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm	33
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	33
M4Rec: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation	33
F2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns	33
Auto-Encoding Neural Tucker Factorization	33
Self-Supervised Graph Representation Learning via Topology Transformations	33
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection	33
Structure-Aware Subspace Clustering	33
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks	33
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark	33
Dynamic Stochastic Reorientation Particle Swarm Optimization for Adaptive Latent Factor Analysis in High-Dimensional Sparse Matrices	33
Determining Mean First-Passage Time for Random Walks on Stochastic Uniform Growth Tree Networks	32
Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters	32
Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization	32
An Adaptive Entire-Space Multi-Scenario Multi-Task Transfer Learning Model for Recommendations	32