IEEE Transactions on Knowledge and Data Engineering

Article	Citations
A Similarity-based Framework for Classification Task	1389
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	901
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	888
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	676
Modeling and Detecting Communities in Node Attributed Networks	649
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	565
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	493
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	474
Generating Characteristic Summaries for Entity Descriptions	460
The Expressive Power of Graph Neural Networks: A Survey	452
Road-aware Indexing for Trajectory Range Queries	452
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	442
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	376
Learning Discriminative Text Representation for Streaming Social Event Detection	247
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	235
Scalable Identity-Oriented Speech Retrieval	225
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	220
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	216
Latent Representation Guided Multi-View Clustering	208
Minimum $k$-Vertex Connected Graph Search	206
Reinforced Imitative Graph Learning for Mobile User Profiling	204
Network Representation Lightening from Hashing to Quantization	203
Simplified Graph Contrastive Learning Model Without Augmentation	199
Domain Adaptation on Graphs by Learning Aligned Graph Bases	197
Projective Ranking-based GNN Evasion Attacks	194

Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	188
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	187
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	177
Explicit Message-Passing Heterogeneous Graph Neural Network	164
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	163
Learning Idempotent Representation for Subspace Clustering	157
Graph Contrastive Learning With Personalized Augmentation	150
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	150
Dimensionality Reduction for Categorical Data	148
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	147
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	147
Temporal Network Motifs: Models, Limitations, Evaluation	146
Data-Aware Adaptive Compression for Stream Processing	143
Generating kk-Hop-Constrained ss-tt Path Graphs	137
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	136
Attribute Graph Neural Networks for Strict Cold Start Recommendation	134
Streaming Graph Embeddings via Incremental Neighborhood Sketching	134
Generalized Measure-Biased Sampling and Priority Sampling	132
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	129
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	129
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	126
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	124
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	124
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	119
Continuous Trajectory Similarity Search for Online Outlier Detection	118
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	118
Model Inversion Attacks Against Graph Neural Networks	117
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	113
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	113
Model-Free Subsampling Method Based on Uniform Designs	112
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	111
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	107
Neural Text Segmentation and its Application to Sentiment Analysis	107
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	106
Encoding High-Cardinality String Categorical Variables	104
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	104
Towards De-Anonymization of Google Play Search Rank Fraud	100
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	98
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	97
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	96
Efficient Radius-Bounded Community Search in Geo-Social Networks	95
Large Language Models are In-Context Molecule Learners	95
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	92
Network Controllability Perspectives on Graph Representation	91
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	90
Similarity Transitivity Broken-Aware Multi-Modal Hashing	89
Multi-view Fuzzy Representation Learning with Rules based Model	89
Domain-Adversarial Network Alignment	89
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	89
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	88

Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	87
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	85
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	84
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	82
Subgraph Matching With Effective Matching Order and Indexing	79
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	79
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation	78
Low-Rank Tensor Learning for Incomplete Multiview Clustering	77
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	76
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	76
Balanced and Unbalanced Triangle Count in Signed Networks	75
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	74
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	74
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	73
Efficient Algorithms for Personalized PageRank Computation: A Survey	72
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	72
Preventing Inferences Through Data Dependencies on Sensitive Data	72
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	71
Job and Employee Embeddings: A Joint Deep Learning Approach	70
Discovery of Cross Joins	70
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	69
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	68
Temporal Graph Multi-Aspect Embeddings	68
Fast Flexible Bipartite Graph Model for Co-Clustering	68
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	68
GPU-Accelerated Structural Diversity Search in Graphs	67
Pattern-Wise Transparent Sequential Recommendation	66
Provenance Graph Kernel	65
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	65
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	63
GDSRec: Graph-Based DecentralizedCollaborative Filtering for SocialRecommendation	62
Amalur: The Convergence of Data Integration and Machine Learning	62
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	62
Effortless Locality on Data Systems Using Relational Fabric	61
Robust Tensor Completion With Side Information	61
CCGL: Contrastive Cascade Graph Learning	60
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	60
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	60
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	60
Evolutionary Markov Dynamics for Network Community Detection	60
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	60
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	59
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	59
Extracting and Composing Robust Features With Broad Learning System	58
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	58
Enhancing Factorization Machines With Generalized Metric Learning	57
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	57
A Survey on Multi-Task Learning	57
Authorized Update in Multi-user Homomorphic Encrypted Cloud Database	57
Multi-Party Sequential Data Publishing Under Differential Privacy	56
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs	56
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	56
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	55
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	55
A Survey on Dropout Methods and Experimental Verification in Recommendation	55
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	54
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	54
Preference and Constraint Factor Model for Event Recommendation	53
HOFD: An Outdated Fact Detector for Knowledge Bases	53
Improving Image Similarity Learning by Adding External Memory	53
Incorporating User's Preference into Attributed Graph Clustering	53
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	52
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	52
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	52
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	52
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	51
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	51
Automatic Treatment Regimen Design	51
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	51
Identifying Anomalies While Preserving Privacy	50
Contact Tracing Over Uncertain Indoor Positioning Data	50
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	49
Bidirectional Attentive Multi-View Clustering	49
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	49
Euclidean Distance is Not Your Swiss Army Knife	48
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks	48
Exploring Flat Minima for Domain Generalization With Large Learning Rates	48
FRAME: Feature Rectification for Class Imbalance Learning	48
Random Deep Graph Matching	48
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	48

Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	48
Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction	48
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	48
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	47
Detect Professional Malicious User With Metric Learning in Recommender Systems	47
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	47
Knowledge Graph Embedding by Double Limit Scoring Loss	46
GAN-based Hybrid Sampling Method for Transaction Fraud Detection	45
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	44
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	44
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	44
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	44
Robust principal component analysis based on discriminant information	44
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	44
Handling New Class in Online Label Shift	43
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	43
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing	43
Point-Set Kernel Clustering	43
Differentially Private Triangle Counting in Large Graphs	43
Online Outlier Detection in Open Feature Spaces	43
Cross-Domain Meta-Learner for Cold-Start Recommendation	43
Steerable Self-Driving Data Visualization	42
Reliability Maximization in Uncertain Graphs	42
Modeling Signed Networks as 2-Layer Growing Networks	42
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	42
CrowdChart: Crowdsourced Data Extraction From Visualization Charts	42
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	42
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	41
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	41
Exploiting Data Skew for Improved Query Performance	40
Refining Codes for Locality Sensitive Hashing	39
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	39
TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring	39
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	39
Motif-Driven Contrastive Learning of Graph Representations	38
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	38
A Survey on Deep Learning for Named Entity Recognition	38
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	38
Parallel Core Maintenance of Dynamic Graphs	38
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	38
Deep Isolation Forest for Anomaly Detection	38
Collective Decision for Open Set Recognition	38
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	38
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	38
Sparse Graph Attention Networks	38
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	37
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	37
A Survey on Deep Reinforcement Learning for Data Processing and Analytics	37
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis	36
A Review on Ontology Modularization Techniques - A Multi-Dimensional Perspective	36
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	36
Hierarchical Active Learning With Label Proportions on Data Regions	36
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction	36
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud	35
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	35
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	35
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	35
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	35
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation	34
A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction	34
Auto-encoding Neural Tucker Factorization	34
Adaptive Magnetic-Graph Clustering	34
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	34
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks	33
Stable Subgraph Isomorphism Search in Temporal Networks	33
Model Reuse With Reduced Kernel Mean Embedding Specification	33
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	33
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection	33
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	33
Publicly Verifiable Databases With All Efficient Updating Operations	33
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System	33
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution	32
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation	32
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	32
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	31
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm	31
Multi-level Attention Map Network for Multimodal Sentiment Analysis	31
Automated Graph Neural Network Search Under Federated Learning Framework	31
Self-Supervised Graph Representation Learning via Topology Transformations	31
An Experimental Study on Federated Equi-Joins	31
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	31
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	31
Feature and Nuclear Norm Minimization for Matrix Completion	31
KGGen: A Generative Approach for Incipient Knowledge Graph Population	31
Hierarchy-Aware Adaptive Graph Neural Network	31
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering	31
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	31
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory	30
Intent Propagation Contrastive Collaborative Filtering	30
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	30
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System	30
Personalized Elastic Embedding Learning for On-Device Recommendation	30
Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification	30
MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series	30
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space	30