IEEE Transactions on Knowledge and Data Engineering

Article	Citations
A Similarity-based Framework for Classification Task	1257
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	856
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	841
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	609
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	599
Modeling and Detecting Communities in Node Attributed Networks	525
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	447
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	441
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	407
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	406
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	401
Generating Characteristic Summaries for Entity Descriptions	370
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data	323
Dimensionality Reduction for Categorical Data	213
Graph Contrastive Learning With Personalized Augmentation	208
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	199
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	198
Model-Free Subsampling Method Based on Uniform Designs	196
The Expressive Power of Graph Neural Networks: A Survey	196
Network Representation Lightening from Hashing to Quantization	191
Road-aware Indexing for Trajectory Range Queries	188
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	184
Generating kk-Hop-Constrained ss-tt Path Graphs	182
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	181
Data-Aware Adaptive Compression for Stream Processing	178

Learning Discriminative Text Representation for Streaming Social Event Detection	176
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	169
Scalable Identity-Oriented Speech Retrieval	160
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	157
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	155
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	148
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	139
Latent Representation Guided Multi-View Clustering	137
Encoding High-Cardinality String Categorical Variables	136
Minimum $k$-Vertex Connected Graph Search	132
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	131
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	131
Reinforced Imitative Graph Learning for Mobile User Profiling	129
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	127
Domain Adaptation on Graphs by Learning Aligned Graph Bases	125
Streaming Graph Embeddings via Incremental Neighborhood Sketching	119
Projective Ranking-based GNN Evasion Attacks	119
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	115
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	115
Generalized Measure-Biased Sampling and Priority Sampling	115
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	115
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	113
Explicit Message-Passing Heterogeneous Graph Neural Network	112
Learning Idempotent Representation for Subspace Clustering	111
Model Inversion Attacks Against Graph Neural Networks	111
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	111
A Universal Subhypergraph-assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	111
Continuous Trajectory Similarity Search for Online Outlier Detection	110
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	110
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	107
Attribute Graph Neural Networks for Strict Cold Start Recommendation	103
Contrastive Variational Group Recommendation with Data-agnostic Augmentation	100
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	100
Neural Text Segmentation and its Application to Sentiment Analysis	94
CCGL: Contrastive Cascade Graph Learning	93
Temporal Network Motifs: Models, Limitations, Evaluation	93
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	92
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	92
Towards De-Anonymization of Google Play Search Rank Fraud	91
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	90
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	89
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	87
Multi-view Fuzzy Representation Learning with Rules based Model	86
Network Controllability Perspectives on Graph Representation	85
Robust Tensor Completion With Side Information	84
Efficient Radius-Bounded Community Search in Geo-Social Networks	84
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	84
Large Language Models are In-Context Molecule Learners	83
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	82
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	81

Domain-Adversarial Network Alignment	78
Preventing Inferences Through Data Dependencies on Sensitive Data	76
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	76
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	75
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	75
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	74
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	73
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	72
Job and Employee Embeddings: A Joint Deep Learning Approach	71
Effortless Locality on Data Systems Using Relational Fabric	71
Discovery of Cross Joins	70
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	68
Temporal Graph Multi-Aspect Embeddings	67
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	66
Similarity Transitivity Broken-Aware Multi-Modal Hashing	66
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	65
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	65
GPU-Accelerated Structural Diversity Search in Graphs	64
Pattern-Wise Transparent Sequential Recommendation	63
Provenance Graph Kernel	62
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	62
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	61
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	61
GDSRec: Graph-Based DecentralizedCollaborative Filtering for SocialRecommendation	61
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	60
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	59
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	59
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	58
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	58
Efficient Algorithms for Personalized PageRank Computation: A Survey	58
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	57
Amalur: The Convergence of Data Integration and Machine Learning	57
Balanced and Unbalanced Triangle Count in Signed Networks	57
Evolutionary Markov Dynamics for Network Community Detection	57
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	57
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	56
Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and $L_{1}$ norm	56
Low-Rank Tensor Learning for Incomplete Multiview Clustering	56
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation	56
Subgraph Matching With Effective Matching Order and Indexing	56
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	55
Extracting and Composing Robust Features With Broad Learning System	55
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	55
Enhancing Factorization Machines With Generalized Metric Learning	54
A Survey on Multi-Task Learning	54
Fast Flexible Bipartite Graph Model for Co-Clustering	54
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	53
Authorized Update in Multi-user Homomorphic Encrypted Cloud Database	53
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs	52
Collective Decision for Open Set Recognition	52
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	52
Multi-Party Sequential Data Publishing Under Differential Privacy	51
Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction	51
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	51
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	50
Statistically Robust Evaluation of Stream-Based Recommender Systems	50
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing	50
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	49
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	49
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	49
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	49
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	49
Incorporating User's Preference into Attributed Graph Clustering	48
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	48
Robust principal component analysis based on discriminant information	48
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	48
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	48
Preference and Constraint Factor Model for Event Recommendation	46
Improving Image Similarity Learning by Adding External Memory	46
HOFD: An Outdated Fact Detector for Knowledge Bases	46
Reliability Maximization in Uncertain Graphs	46
Modeling Signed Networks as 2-Layer Growing Networks	46
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	46
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	45
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	45
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	45
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	45
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	44
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	44
Automatic Treatment Regimen Design	44

HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	44
Random Deep Graph Matching	43
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	42
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	42
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	42
Exploiting Data Skew for Improved Query Performance	42
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks	42
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	41
Steerable Self-Driving Data Visualization	41
Contact Tracing Over Uncertain Indoor Positioning Data	41
Knowledge Graph Embedding by Double Limit Scoring Loss	41
A Survey on Dropout Methods and Experimental Verification in Recommendation	41
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	41
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	41
CrowdChart: Crowdsourced Data Extraction From Visualization Charts	41
Detect Professional Malicious User With Metric Learning in Recommender Systems	40
Identifying Anomalies While Preserving Privacy	40
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	40
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	40
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	40
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	39
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	39
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	38
Refining Codes for Locality Sensitive Hashing	38
FRAME: Feature Rectification for Class Imbalance Learning	38
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	38
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	37
Parallel Core Maintenance of Dynamic Graphs	37
Handling New Class in Online Label Shift	37
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	36
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	36
A Survey on Deep Reinforcement Learning for Data Processing and Analytics	36
Point-Set Kernel Clustering	36
Exploring Flat Minima for Domain Generalization With Large Learning Rates	36
Differentially Private Triangle Counting in Large Graphs	36
Euclidean Distance is Not Your Swiss Army Knife	35
Cross-Domain Meta-Learner for Cold-Start Recommendation	35
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	35
Bidirectional Attentive Multi-View Clustering	35
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	34
Deep Isolation Forest for Anomaly Detection	34
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	34
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	34
Motif-Driven Contrastive Learning of Graph Representations	34
A Review on Ontology Modularization Techniques - A Multi-Dimensional Perspective	34
A Survey on Deep Learning for Named Entity Recognition	34
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	33
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	33
KGGen: A Generative Approach for Incipient Knowledge Graph Population	33
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction	33
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm	32
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis	32
Self-Supervised Graph Representation Learning via Topology Transformations	32
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	32
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs	31
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	31
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	31
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	31
Hierarchical Active Learning With Label Proportions on Data Regions	31
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space	31
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud	31
Feature and Nuclear Norm Minimization for Matrix Completion	30
Model Reuse With Reduced Kernel Mean Embedding Specification	30
An Experimental Study on Federated Equi-Joins	30
Automated Graph Neural Network Search Under Federated Learning Framework	30
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System	30
Intent Propagation Contrastive Collaborative Filtering	30
Topic-Guided Conversational Recommender in Multiple Domains	30
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	30
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks	29
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning	29
Publicly Verifiable Databases With All Efficient Updating Operations	29
Multi-level Attention Map Network for Multimodal Sentiment Analysis	29
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing	29
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement	29
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	29
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study	29
MSDIPN: Multi-scale Deep Interval Prediction Network for Multivariate Time Series	29
Stable Subgraph Isomorphism Search in Temporal Networks	29
Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification	28
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	28
F $^{2}$ AT: Feature-Focusing Adversarial Training Via Disentanglement of Natural and Perturbed Patterns	28
Supervised Feature Selection via Multi-Center and Local Structure Learning	28
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation	28
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System	28
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning	28
Structure-Aware Subspace Clustering	28
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	27
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation	27
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark	27
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks	27
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution	27
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection	27
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	27
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation	27