IEEE Transactions on Knowledge and Data Engineering

Article	Citations
A Similarity-based Framework for Classification Task	1442
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	926
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	905
Modeling and Detecting Communities in Node Attributed Networks	721
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	684
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	578
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	519
Generating Characteristic Summaries for Entity Descriptions	494
Dimensionality Reduction for Categorical Data	490
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	483
Generating kk-Hop-Constrained ss-tt Path Graphs	478
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	454
Streaming Graph Embeddings via Incremental Neighborhood Sketching	407
Generalized Measure-Biased Sampling and Priority Sampling	268
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	244
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	241
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	238
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	222
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	219
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	215
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	213
Continuous Trajectory Similarity Search for Online Outlier Detection	211
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	208
Road-aware Indexing for Trajectory Range Queries	207
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	198

Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	190
Encoding High-Cardinality String Categorical Variables	190
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	184
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	173
Learning Discriminative Text Representation for Streaming Social Event Detection	172
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	169
Scalable Identity-Oriented Speech Retrieval	162
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	159
Minimum $k$-Vertex Connected Graph Search	157
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	153
Reinforced Imitative Graph Learning for Mobile User Profiling	153
Network Representation Lightening from Hashing to Quantization	153
Learning Idempotent Representation for Subspace Clustering	144
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	141
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	141
Graph Contrastive Learning With Personalized Augmentation	140
Latent Representation Guided Multi-View Clustering	139
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	139
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	138
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	133
Model-Free Subsampling Method Based on Uniform Designs	132
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	131
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	128
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	127
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	123
Simplified Graph Contrastive Learning Model Without Augmentation	119
Orthogonal Keys High Precision and Recall for Mining Database Keys from Inconsistent and Incomplete Relations	118
CryptIF: Towards Cloud-based IoT Anomaly Detection over Encrypted Feature Streams	118
Attribute Graph Neural Networks for Strict Cold Start Recommendation	117
The Expressive Power of Graph Neural Networks: A Survey	117
Domain Adaptation on Graphs by Learning Aligned Graph Bases	116
Projective Ranking-based GNN Evasion Attacks	112
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	111
Explicit Message-Passing Heterogeneous Graph Neural Network	109
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	107
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	106
Data-Aware Adaptive Compression for Stream Processing	103
Model Inversion Attacks Against Graph Neural Networks	103
Neural Text Segmentation and its Application to Sentiment Analysis	102
Towards De-Anonymization of Google Play Search Rank Fraud	100
Temporal Network Motifs: Models, Limitations, Evaluation	100
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	99
Efficient Radius-Bounded Community Search in Geo-Social Networks	97
Large Language Models are In-Context Molecule Learners	96
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	95
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	94
Multi-view Fuzzy Representation Learning with Rules based Model	94
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	93
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	92
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	91

Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	91
Subgraph Matching With Effective Matching Order and Indexing	90
CCGL: Contrastive Cascade Graph Learning	89
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	87
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	87
Domain-Adversarial Network Alignment	84
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	82
Efficient Algorithms for Personalized PageRank Computation: A Survey	80
Evolutionary Markov Dynamics for Network Community Detection	80
Preventing Inferences Through Data Dependencies on Sensitive Data	79
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	79
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	78
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	78
Discovery of Cross Joins	77
Job and Employee Embeddings: A Joint Deep Learning Approach	77
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	76
Amalur: The Convergence of Data Integration and Machine Learning	74
Temporal Graph Multi-Aspect Embeddings	74
Robust Tensor Completion With Side Information	73
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	72
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	71
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	71
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	70
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	70
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	70
GPU-Accelerated Structural Diversity Search in Graphs	69
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	69
Pattern-Wise Transparent Sequential Recommendation	67
GDSRec: Graph-Based DecentralizedCollaborative Filtering for SocialRecommendation	66
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	66
Effortless Locality on Data Systems Using Relational Fabric	66
Provenance Graph Kernel	66
Fast Flexible Bipartite Graph Model for Co-Clustering	65
Network Controllability Perspectives on Graph Representation	64
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	64
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	63
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	63
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	63
KnobCF: Uncertainty-aware Knob Tuning	63
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	63
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	62
Extracting and Composing Robust Features With Broad Learning System	62
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	62
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	61
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	61
A Survey on Multi-Task Learning	60
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	60
Similarity Transitivity Broken-Aware Multi-Modal Hashing	60
Low-Rank Tensor Learning for Incomplete Multiview Clustering	60
Balanced and Unbalanced Triangle Count in Signed Networks	60
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation	60
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	59
Enhancing Factorization Machines With Generalized Metric Learning	57
Authorized Update in Multi-user Homomorphic Encrypted Cloud Database	57
Multi-Party Sequential Data Publishing Under Differential Privacy	57
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs	57
Online Outlier Detection in Open Feature Spaces	56
GAN-Based Hybrid Sampling Method for Transaction Fraud Detection	56
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	56
HOFD: An Outdated Fact Detector for Knowledge Bases	56
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective	56
Preference and Constraint Factor Model for Event Recommendation	55
A Survey on Deep Reinforcement Learning for Data Processing and Analytics	54
Improving Image Similarity Learning by Adding External Memory	54
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	54
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	54
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	54
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	53
Handling New Class in Online Label Shift	53
Robust principal component analysis based on discriminant information	53
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	52
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	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
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	51
Automatic Treatment Regimen Design	51
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	50
Euclidean Distance is Not Your Swiss Army Knife	50
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	50
Random Deep Graph Matching	49

Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction	49
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	49
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	49
Bidirectional Attentive Multi-View Clustering	49
Identifying Anomalies While Preserving Privacy	48
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	48
A Survey on Dropout Methods and Experimental Verification in Recommendation	48
Contact Tracing Over Uncertain Indoor Positioning Data	48
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	47
TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring	46
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	46
Knowledge Graph Embedding by Double Limit Scoring Loss	46
Exploiting Data Skew for Improved Query Performance	46
Motif-Driven Contrastive Learning of Graph Representations	45
CrowdChart: Crowdsourced Data Extraction From Visualization Charts	45
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	45
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	45
Cross-Domain Meta-Learner for Cold-Start Recommendation	45
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	44
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	44
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	44
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	44
Incorporating User's Preference into Attributed Graph Clustering	44
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing	44
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	43
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	43
Steerable Self-Driving Data Visualization	43
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	43
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	42
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks	42
Detect Professional Malicious User With Metric Learning in Recommender Systems	42
Parallel Core Maintenance of Dynamic Graphs	42
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	41
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	41
Refining Codes for Locality Sensitive Hashing	40
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	40
Reliability Maximization in Uncertain Graphs	39
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	39
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	39
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	39
FRAME: Feature Rectification for Class Imbalance Learning	39
Point-Set Kernel Clustering	39
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	38
Differentially Private Triangle Counting in Large Graphs	38
A Survey on Deep Learning for Named Entity Recognition	38
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	38
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	38
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	38
Modeling Signed Networks as 2-Layer Growing Networks	38
Exploring Flat Minima for Domain Generalization With Large Learning Rates	37
Deep Isolation Forest for Anomaly Detection	37
Sparse Graph Attention Networks	37
Collective Decision for Open Set Recognition	37
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	37
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction	36
A Review on Ontology Modularization Techniques - A Multi-Dimensional Perspective	36
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	36
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	36
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis	36
Hierarchical Active Learning With Label Proportions on Data Regions	36
Structure-Aware Subspace Clustering	35
Publicly Verifiable Databases With All Efficient Updating Operations	35
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud	35
Self-Supervised Graph Representation Learning via Topology Transformations	35
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	35
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	35
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	35
Auto-Encoding Neural Tucker Factorization	34
Adaptive Magnetic-Graph Clustering	34
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	34
Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach	34
A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction	34
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation	33
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm	33
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	33
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	33
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks	33
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution	33
Automated Graph Neural Network Search Under Federated Learning Framework	33
Stable Subgraph Isomorphism Search in Temporal Networks	32
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	32
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	32
An Experimental Study on Federated Equi-Joins	32
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	32
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	32
Hierarchy-Aware Adaptive Graph Neural Network	32
Feature and Nuclear Norm Minimization for Matrix Completion	32
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	32
KGGen: A Generative Approach for Incipient Knowledge Graph Population	32
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System	32
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System	31
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement	31
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection	31
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering	31
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory	31