IEEE Transactions on Knowledge and Data Engineering

Article	Citations
Generating Characteristic Summaries for Entity Descriptions	1557
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	972
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	946
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	785
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	731
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	615
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	579
Road-aware Indexing for Trajectory Range Queries	555
Network Representation Lightening from Hashing to Quantization	534
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	530
Domain Adaptation on Graphs by Learning Aligned Graph Bases	519
Modeling and Detecting Communities in Node Attributed Networks	485
Dimensionality Reduction for Categorical Data	446
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	311
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	293
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	268
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	263
Explicit Message-Passing Heterogeneous Graph Neural Network	238
Learning Idempotent Representation for Subspace Clustering	236
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	235
Data-Aware Adaptive Compression for Stream Processing	233
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series	230
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	228
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	223
Model Inversion Attacks Against Graph Neural Networks	220

CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams	209
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	202
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	200
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	198
Model-Free Subsampling Method Based on Uniform Designs	191
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	184
Continuous Trajectory Similarity Search for Online Outlier Detection	179
Projective Ranking-based GNN Evasion Attacks	178
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	166
Scalable Identity-Oriented Speech Retrieval	165
Generalized Measure-Biased Sampling and Priority Sampling	161
Generating kk-Hop-Constrained ss-tt Path Graphs	161
Minimum $k$-Vertex Connected Graph Search	159
Reinforced Imitative Graph Learning for Mobile User Profiling	157
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	152
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	150
Learning Discriminative Text Representation for Streaming Social Event Detection	150
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	142
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	141
Streaming Graph Embeddings via Incremental Neighborhood Sketching	139
A Similarity-based Framework for Classification Task	135
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	134
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	133
Latent Representation Guided Multi-View Clustering	131
Graph Contrastive Learning With Personalized Augmentation	122
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	121
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	121
Encoding High-Cardinality String Categorical Variables	120
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	119
Simplified Graph Contrastive Learning Model Without Augmentation	116
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	113
Neural Text Segmentation and its Application to Sentiment Analysis	113
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	112
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	112
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	111
Attribute Graph Neural Networks for Strict Cold Start Recommendation	110
The Expressive Power of Graph Neural Networks: A Survey	110
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	109
Temporal Network Motifs: Models, Limitations, Evaluation	107
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	104
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	103
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	101
Preventing Inferences Through Data Dependencies on Sensitive Data	101
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	101
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	99
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	98
Discovery of Cross Joins	98
Effortless Locality on Data Systems Using Relational Fabric	96
Temporal Graph Multi-Aspect Embeddings	96
GPU-Accelerated Structural Diversity Search in Graphs	93

Pattern-Wise Transparent Sequential Recommendation	92
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	90
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	89
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	88
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	86
Multi-view Fuzzy Representation Learning with Rules based Model	85
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	84
Large Language Models are In-Context Molecule Learners	84
Efficient Radius-Bounded Community Search in Geo-Social Networks	82
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	82
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	81
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	81
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	81
KnobCF: Uncertainty-Aware Knob Tuning	80
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	79
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	79
Network Controllability Perspectives on Graph Representation	78
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	78
Robust Tensor Completion With Side Information	78
Similarity Transitivity Broken-Aware Multi-Modal Hashing	77
Serial-parallel Fractional-integer-order Echo state Network for Time Series Prediction	77
BLITZ: A Flexible and Efficient Graph Mining System	76
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	75
Amalur: The Convergence of Data Integration and Machine Learning	74
Fast Flexible Bipartite Graph Model for Co-Clustering	74
Balanced and Unbalanced Triangle Count in Signed Networks	73
Job and Employee Embeddings: A Joint Deep Learning Approach	73
Provenance Graph Kernel	73
GDSRec: Graph-Based DecentralizedCollaborative Filtering for SocialRecommendation	73
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	72
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	71
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation	71
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	70
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	70
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	69
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	69
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	69
Extracting and Composing Robust Features With Broad Learning System	68
Efficient Algorithms for Personalized PageRank Computation: A Survey	68
CCGL: Contrastive Cascade Graph Learning	68
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	67
Subgraph Matching With Effective Matching Order and Indexing	67
Low-Rank Tensor Learning for Incomplete Multiview Clustering	67
Domain-Adversarial Network Alignment	65
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	64
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	64
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	64
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	64
WizardEvent: Empowering Event Reasoning by Hybrid Event-Aware Data Synthesizing	63
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	63
Evolutionary Markov Dynamics for Network Community Detection	62
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	62
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	62
A Survey on Multi-Task Learning	61
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs	60
Multi-Party Sequential Data Publishing Under Differential Privacy	60
HOFD: An Outdated Fact Detector for Knowledge Bases	59
Online Outlier Detection in Open Feature Spaces	59
Improving Image Similarity Learning by Adding External Memory	59
GAN-Based Hybrid Sampling Method for Transaction Fraud Detection	59
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	58
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	57
Handling New Class in Online Label Shift	57
Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction	56
GADE+: a Graph-based Anchor-enhanced Framework for Targeted Document Detection	56
Euclidean Distance is Not Your Swiss Army Knife	56
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks	56
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	56
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	55
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	55
Cross-Domain Meta-Learner for Cold-Start Recommendation	55
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	55
Enhancing Graph Condensation via Key Information Reconstruction	55
Cross-lingual Named Entity Recognition Method Based on Multi-channel and Multi-teacher Models	55
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	54
Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network	54
Authorized Update in Multi-user Homomorphic Encrypted Cloud Database	54
A Survey on Deep Reinforcement Learning for Data Processing and Analytics	54
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	53
Contact Tracing Over Uncertain Indoor Positioning Data	53

A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	53
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	53
Point-Set Kernel Clustering	52
FRAME: Feature Rectification for Class Imbalance Learning	52
Reliability Maximization in Uncertain Graphs	52
Modeling Signed Networks as 2-Layer Growing Networks	52
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	51
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	51
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	50
Identifying Anomalies While Preserving Privacy	50
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	50
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	49
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective	49
TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring	49
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	48
Differentially Private Triangle Counting in Large Graphs	48
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	48
Bidirectional Attentive Multi-View Clustering	48
Exploiting Data Skew for Improved Query Performance	48
Incorporating User's Preference into Attributed Graph Clustering	47
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	47
Enhancing Factorization Machines With Generalized Metric Learning	47
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	47
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing	46
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	46
Detect Professional Malicious User With Metric Learning in Recommender Systems	46
Random Deep Graph Matching	46
Exploring Flat Minima for Domain Generalization With Large Learning Rates	46
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	46
A Survey on Dropout Methods and Experimental Verification in Recommendation	45
Parallel Core Maintenance of Dynamic Graphs	45
Knowledge Graph Embedding by Double Limit Scoring Loss	45
Steerable Self-Driving Data Visualization	45
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	45
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	44
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	44
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	43
Robust principal component analysis based on discriminant information	43
Preference and Constraint Factor Model for Event Recommendation	43
Motif-Driven Contrastive Learning of Graph Representations	42
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	42
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	41
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	41
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	41
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	41
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	41
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	40
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	40
Collective Decision for Open Set Recognition	40
Refining Codes for Locality Sensitive Hashing	39
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	39
Sparse Graph Attention Networks	39
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	39
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	39
A Survey on Deep Learning for Named Entity Recognition	39
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	39
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	39
Deep Isolation Forest for Anomaly Detection	39
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis	38
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	38
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	38
Hierarchical Active Learning With Label Proportions on Data Regions	38
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	38
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	37
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	37
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	37
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	37
Stable Subgraph Isomorphism Search in Temporal Networks	37
Adaptive Magnetic-Graph Clustering	36
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory	36
A Review on Ontology Modularization Techniques - A Multi-Dimensional Perspective	36
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation	36
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution	36
Noise-Tolerant Feature Selections Based on Two-Type Weight-Fuzzy Granulations and Three-View Uncertainty Measures	36
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks	36
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing	36
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement	36
Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach	36
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning	36
KGGen: A Generative Approach for Incipient Knowledge Graph Population	35
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	35
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System	35
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	35
An Experimental Study on Federated Equi-Joins	35
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach	34
Feature and Nuclear Norm Minimization for Matrix Completion	34
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations	34
Automated Graph Neural Network Search Under Federated Learning Framework	34
LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing	34
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System	34
Structure-Aware Subspace Clustering	33
Dynamic Stochastic Reorientation Particle Swarm Optimization for Adaptive Latent Factor Analysis in High-Dimensional Sparse Matrices	33
MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series	33
Self-Supervised Graph Representation Learning via Topology Transformations	33
Topic-Guided Conversational Recommender in Multiple Domains	33