IEEE Transactions on Knowledge and Data Engineering

Article	Citations
A Similarity-based Framework for Classification Task	1324
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	878
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	869
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	634
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	624
Modeling and Detecting Communities in Node Attributed Networks	544
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	460
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	460
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	439
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	425
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	424
Generating Characteristic Summaries for Entity Descriptions	406
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	349
The Expressive Power of Graph Neural Networks: A Survey	224
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	222
Learning Idempotent Representation for Subspace Clustering	212
Road-aware Indexing for Trajectory Range Queries	208
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	205
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	201
Minimum $k$-Vertex Connected Graph Search	200
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	194
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	192
Latent Representation Guided Multi-View Clustering	192
Reinforced Imitative Graph Learning for Mobile User Profiling	188
Generating kk-Hop-Constrained ss-tt Path Graphs	187

Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	186
Data-Aware Adaptive Compression for Stream Processing	183
Learning Discriminative Text Representation for Streaming Social Event Detection	178
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	165
Scalable Identity-Oriented Speech Retrieval	163
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	153
Attribute Graph Neural Networks for Strict Cold Start Recommendation	148
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	145
Continuous Trajectory Similarity Search for Online Outlier Detection	139
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	138
Simplified Graph Contrastive Learning Model Without Augmentation	138
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	137
Model Inversion Attacks Against Graph Neural Networks	133
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	133
Projective Ranking-based GNN Evasion Attacks	128
Domain Adaptation on Graphs by Learning Aligned Graph Bases	128
Generalized Measure-Biased Sampling and Priority Sampling	127
Explicit Message-Passing Heterogeneous Graph Neural Network	123
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	123
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	121
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	121
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	121
A Universal Subhypergraph-assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	120
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	119
Contrastive Variational Group Recommendation with Data-agnostic Augmentation	117
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	116
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	115
Neural Text Segmentation and its Application to Sentiment Analysis	113
Streaming Graph Embeddings via Incremental Neighborhood Sketching	112
Graph Contrastive Learning With Personalized Augmentation	107
Temporal Network Motifs: Models, Limitations, Evaluation	107
Network Representation Lightening from Hashing to Quantization	103
Encoding High-Cardinality String Categorical Variables	102
Dimensionality Reduction for Categorical Data	102
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	102
Model-Free Subsampling Method Based on Uniform Designs	101
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	99
Towards De-Anonymization of Google Play Search Rank Fraud	98
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	96
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	95
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	94
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	94
Efficient Radius-Bounded Community Search in Geo-Social Networks	93
Large Language Models are In-Context Molecule Learners	90
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	88
Similarity Transitivity Broken-Aware Multi-Modal Hashing	87
Network Controllability Perspectives on Graph Representation	86
CCGL: Contrastive Cascade Graph Learning	86
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	85
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	84

Low-Rank Tensor Learning for Incomplete Multiview Clustering	84
Robust Tensor Completion With Side Information	82
Subgraph Matching With Effective Matching Order and Indexing	80
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	78
Multi-view Fuzzy Representation Learning with Rules based Model	77
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	76
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	74
Extracting and Composing Robust Features With Broad Learning System	74
Preventing Inferences Through Data Dependencies on Sensitive Data	73
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	73
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	73
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	72
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	71
Discovery of Cross Joins	71
Job and Employee Embeddings: A Joint Deep Learning Approach	71
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	68
Temporal Graph Multi-Aspect Embeddings	68
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	68
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	68
Pattern-Wise Transparent Sequential Recommendation	66
GPU-Accelerated Structural Diversity Search in Graphs	66
Provenance Graph Kernel	65
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	64
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	64
Balanced and Unbalanced Triangle Count in Signed Networks	63
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	63
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	63
Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and $L_{1}$ norm	63
GDSRec: Graph-Based DecentralizedCollaborative Filtering for SocialRecommendation	62
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	62
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation	61
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	60
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	60
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	60
Amalur: The Convergence of Data Integration and Machine Learning	60
Fast Flexible Bipartite Graph Model for Co-Clustering	58
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	57
Domain-Adversarial Network Alignment	57
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	57
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	57
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	57
A Survey on Multi-Task Learning	56
Evolutionary Markov Dynamics for Network Community Detection	56
Effortless Locality on Data Systems Using Relational Fabric	56
Efficient Algorithms for Personalized PageRank Computation: A Survey	56
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	56
Enhancing Factorization Machines With Generalized Metric Learning	55
Authorized Update in Multi-user Homomorphic Encrypted Cloud Database	55
Collective Decision for Open Set Recognition	54
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	54
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs	54
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	53
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	53
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	53
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	53
Multi-Party Sequential Data Publishing Under Differential Privacy	53
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	53
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	52
Parallel Core Maintenance of Dynamic Graphs	52
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	52
A Survey on Dropout Methods and Experimental Verification in Recommendation	51
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing	51
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	51
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	51
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	50
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	50
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	49
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	49
HOFD: An Outdated Fact Detector for Knowledge Bases	48
Reliability Maximization in Uncertain Graphs	48
Modeling Signed Networks as 2-Layer Growing Networks	48
Incorporating User's Preference into Attributed Graph Clustering	48
Improving Image Similarity Learning by Adding External Memory	47
Preference and Constraint Factor Model for Event Recommendation	47
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	47
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	46
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	46
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	46
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	46
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	46

DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	46
Automatic Treatment Regimen Design	46
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	45
Exploiting Data Skew for Improved Query Performance	45
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	44
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	43
Refining Codes for Locality Sensitive Hashing	43
Identifying Anomalies While Preserving Privacy	43
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	43
Contact Tracing Over Uncertain Indoor Positioning Data	43
Bidirectional Attentive Multi-View Clustering	42
Differentially Private Triangle Counting in Large Graphs	42
Euclidean Distance is Not Your Swiss Army Knife	42
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	42
Steerable Self-Driving Data Visualization	42
CrowdChart: Crowdsourced Data Extraction From Visualization Charts	41
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks	41
Point-Set Kernel Clustering	41
Robust principal component analysis based on discriminant information	41
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	41
FRAME: Feature Rectification for Class Imbalance Learning	41
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	40
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	40
Random Deep Graph Matching	40
Handling New Class in Online Label Shift	39
A Survey on Deep Reinforcement Learning for Data Processing and Analytics	38
Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction	38
Exploring Flat Minima for Domain Generalization With Large Learning Rates	38
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	38
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	37
Cross-Domain Meta-Learner for Cold-Start Recommendation	37
Detect Professional Malicious User With Metric Learning in Recommender Systems	37
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	37
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	37
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	37
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	37
A Survey on Deep Learning for Named Entity Recognition	36
Motif-Driven Contrastive Learning of Graph Representations	36
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	36
Knowledge Graph Embedding by Double Limit Scoring Loss	36
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	36
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	36
Deep Isolation Forest for Anomaly Detection	35
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	35
A Review on Ontology Modularization Techniques - A Multi-Dimensional Perspective	35
KGGen: A Generative Approach for Incipient Knowledge Graph Population	34
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis	34
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	34
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	34
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction	34
Hierarchical Active Learning With Label Proportions on Data Regions	33
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs	33
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	33
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space	33
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud	32
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System	32
Intent Propagation Contrastive Collaborative Filtering	32
Model Reuse With Reduced Kernel Mean Embedding Specification	32
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	32
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation	32
An Experimental Study on Federated Equi-Joins	32
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	32
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study	32
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	32
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	32
MSDIPN: Multi-scale Deep Interval Prediction Network for Multivariate Time Series	31
Topic-Guided Conversational Recommender in Multiple Domains	31
Structure-Aware Subspace Clustering	31
F $^{2}$ AT: Feature-Focusing Adversarial Training Via Disentanglement of Natural and Perturbed Patterns	31
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning	31
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks	30
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	30
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks	30
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	30
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	30
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	30
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation	30
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	30
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge	29
Stable Subgraph Isomorphism Search in Temporal Networks	29
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering	29
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing	29
Hierarchy-Aware Adaptive Graph Neural Network	29
Self-Supervised Graph Representation Learning via Topology Transformations	29
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution	29
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement	29
Supervised Feature Selection via Multi-Center and Local Structure Learning	29
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach	29
Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification	29
Publicly Verifiable Databases With All Efficient Updating Operations	29
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning	29
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System	29
Personalized Elastic Embedding Learning for On-Device Recommendation	29
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark	29
Automated Graph Neural Network Search Under Federated Learning Framework	28