IEEE Transactions on Knowledge and Data Engineering

Article	Citations
Generating Characteristic Summaries for Entity Descriptions	1608
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	990
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	970
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	812
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	758
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	628
Streaming Graph Embeddings via Incremental Neighborhood Sketching	614
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	575
Road-aware Indexing for Trajectory Range Queries	570
Network Representation Lightening from Hashing to Quantization	556
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	534
Domain Adaptation on Graphs by Learning Aligned Graph Bases	502
Modeling and Detecting Communities in Node Attributed Networks	482
Dimensionality Reduction for Categorical Data	333
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	319
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	291
Model-Free Subsampling Method Based on Uniform Designs	278
A Similarity-based Framework for Classification Task	255
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	249
Scalable Identity-Oriented Speech Retrieval	247
Continuous Trajectory Similarity Search for Online Outlier Detection	247
Generating kk-Hop-Constrained ss-tt Path Graphs	243
Generalized Measure-Biased Sampling and Priority Sampling	241
Minimum $k$-Vertex Connected Graph Search	239
Reinforced Imitative Graph Learning for Mobile User Profiling	225

Outdoor Position Recovery From Heterogeneous Telco Cellular Data	223
Learning Discriminative Text Representation for Streaming Social Event Detection	213
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	209
Explicit Message-Passing Heterogeneous Graph Neural Network	207
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	201
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams	198
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	185
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series	178
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	176
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	170
Latent Representation Guided Multi-View Clustering	168
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	167
Exploiting SIMD-Ified Bit-Parallelism for High-Performance Complex Event Matching	165
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	164
Model Inversion Attacks Against Graph Neural Networks	159
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	156
Temporal Network Motifs: Models, Limitations, Evaluation	153
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	146
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	144
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	141
Projective Ranking-based GNN Evasion Attacks	140
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	140
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	138
Data-Aware Adaptive Compression for Stream Processing	135
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	132
Learning Idempotent Representation for Subspace Clustering	126
Simplified Graph Contrastive Learning Model Without Augmentation	123
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	123
Neural Text Segmentation and its Application to Sentiment Analysis	123
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	120
The Expressive Power of Graph Neural Networks: A Survey	119
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	118
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	118
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	117
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	116
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	116
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	113
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	111
Encoding High-Cardinality String Categorical Variables	110
Graph Contrastive Learning With Personalized Augmentation	110
Attribute Graph Neural Networks for Strict Cold Start Recommendation	108
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	106
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	106
Preventing Inferences Through Data Dependencies on Sensitive Data	105
Discovery of Cross Joins	103
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	103
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	102
Temporal Graph Multi-Aspect Embeddings	100
GPU-Accelerated Structural Diversity Search in Graphs	98
Effortless Locality on Data Systems Using Relational Fabric	98

Pattern-Wise Transparent Sequential Recommendation	93
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	91
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	91
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	89
Multi-view Fuzzy Representation Learning with Rules based Model	88
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	88
Efficient Radius-Bounded Community Search in Geo-Social Networks	87
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	86
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	86
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	86
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	86
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	84
KnobCF: Uncertainty-Aware Knob Tuning	84
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	82
Robust Tensor Completion With Side Information	81
Provenance Graph Kernel	81
Similarity Transitivity Broken-Aware Multi-Modal Hashing	81
Job and Employee Embeddings: A Joint Deep Learning Approach	81
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	80
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	80
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	80
Fast Flexible Bipartite Graph Model for Co-Clustering	79
Amalur: The Convergence of Data Integration and Machine Learning	79
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	78
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	78
CCGL: Contrastive Cascade Graph Learning	78
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	77
Network Controllability Perspectives on Graph Representation	77
WizardEvent: Empowering Event Reasoning by Hybrid Event-Aware Data Synthesizing	77
Subgraph Matching With Effective Matching Order and Indexing	76
Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction	76
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation	74
BLITZ: A Flexible and Efficient Graph Mining System	74
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	74
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	74
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	73
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	73
Low-Rank Tensor Learning for Incomplete Multiview Clustering	71
GDSRec: Graph-Based DecentralizedCollaborative Filtering for SocialRecommendation	70
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	70
Extracting and Composing Robust Features With Broad Learning System	70
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	69
Large Language Models are In-Context Molecule Learners	69
Efficient Algorithms for Personalized PageRank Computation: A Survey	68
Domain-Adversarial Network Alignment	68
Balanced and Unbalanced Triangle Count in Signed Networks	68
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	67
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	67
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	66
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	66
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	65
Evolutionary Markov Dynamics for Network Community Detection	65
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	65
A Survey on Multi-Task Learning	63
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	63
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs	62
Improving Image Similarity Learning by Adding External Memory	61
HOFD: An Outdated Fact Detector for Knowledge Bases	61
Online Outlier Detection in Open Feature Spaces	61
Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction	60
Handling New Class in Online Label Shift	60
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	60
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	60
Euclidean Distance is Not Your Swiss Army Knife	60
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	60
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	60
Authorized Update in Multi-user Homomorphic Encrypted Cloud Database	59
Enhancing Graph Condensation via Key Information Reconstruction	59
Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network	59
Contact Tracing Over Uncertain Indoor Positioning Data	59
Cross-Domain Meta-Learner for Cold-Start Recommendation	59
Modeling Signed Networks as 2-Layer Growing Networks	58
Reliability Maximization in Uncertain Graphs	58
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	58
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	57
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	57
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	56
Identifying Anomalies While Preserving Privacy	56
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	56
Bidirectional Attentive Multi-View Clustering	55

TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring	55
Detect Professional Malicious User With Metric Learning in Recommender Systems	54
Parallel Core Maintenance of Dynamic Graphs	54
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	53
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	53
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	53
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	53
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective	53
Knowledge Graph Embedding by Double Limit Scoring Loss	52
Multi-Party Sequential Data Publishing Under Differential Privacy	52
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	52
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	51
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	51
Exploiting Data Skew for Improved Query Performance	51
Enhancing Factorization Machines With Generalized Metric Learning	50
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	49
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	49
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	49
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	49
Steerable Self-Driving Data Visualization	49
Random Deep Graph Matching	49
A Survey on Dropout Methods and Experimental Verification in Recommendation	49
Exploring Flat Minima for Domain Generalization With Large Learning Rates	48
Differentially Private Triangle Counting in Large Graphs	48
Point-Set Kernel Clustering	48
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	48
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	47
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing	47
Robust principal component analysis based on discriminant information	47
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	47
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	47
Refining Codes for Locality Sensitive Hashing	47
GADE+: A Graph-Based Anchor-Enhanced Framework for Targeted Document Detection	46
Cross-Lingual Named Entity Recognition Method Based on Multi-Channel and Multi-Teacher Models	46
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	46
Collective Decision for Open Set Recognition	45
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	45
A Survey on Deep Reinforcement Learning for Data Processing and Analytics	45
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	44
FRAME: Feature Rectification for Class Imbalance Learning	44
GAN-Based Hybrid Sampling Method for Transaction Fraud Detection	44
Motif-Driven Contrastive Learning of Graph Representations	44
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	44
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	44
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	43
Sparse Graph Attention Networks	43
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	42
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	41
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	41
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	41
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	41
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	41
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	40
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	40
Preference and Constraint Factor Model for Event Recommendation	40
A Survey on Deep Learning for Named Entity Recognition	40
Deep Isolation Forest for Anomaly Detection	40
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	39
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement	39
Stable Subgraph Isomorphism Search in Temporal Networks	39
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis	39
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	39
Adaptive Magnetic-Graph Clustering	39
Hierarchical Active Learning With Label Proportions on Data Regions	39
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	39
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory	39
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation	38
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	38
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning	38
Structure-Aware Subspace Clustering	38
Self-Supervised Graph Representation Learning via Topology Transformations	38
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	38
Multi-level Attention Map Network for Multimodal Sentiment Analysis	37
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	37
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	37
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering	37
An Experimental Study on Federated Equi-Joins	37
Noise-Tolerant Feature Selections Based on Two-Type Weight-Fuzzy Granulations and Three-View Uncertainty Measures	36
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	36
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations	36
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach	36
Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach	36
Personalized Elastic Embedding Learning for On-Device Recommendation	36
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks	36
Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification	36
Automated Graph Neural Network Search Under Federated Learning Framework	36
LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing	36
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge	36
F2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns	35
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation	35
Model Reuse With Reduced Kernel Mean Embedding Specification	35
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	35
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System	34
Feature and Nuclear Norm Minimization for Matrix Completion	34
Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering	34