IEEE Transactions on Knowledge and Data Engineering

Article	Citations
A Similarity-based Framework for Classification Task	1185
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	836
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	825
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	588
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	581
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	505
Modeling and Detecting Communities in Node Attributed Networks	435
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	430
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	392
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	391
Learning Idempotent Representation for Subspace Clustering	388
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	338
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	301
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	279
Generating Characteristic Summaries for Entity Descriptions	206
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	198
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data	191
Network Representation Lightening from Hashing to Quantization	188
Road-aware Indexing for Trajectory Range Queries	186
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	185
Generating kk-Hop-Constrained ss-tt Path Graphs	184
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	182
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	177
Model-Free Subsampling Method Based on Uniform Designs	173
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	173

Data-Aware Adaptive Compression for Stream Processing	165
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	164
Learning Discriminative Text Representation for Streaming Social Event Detection	154
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	152
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	148
Scalable Identity-Oriented Speech Retrieval	148
Continuous Trajectory Similarity Search for Online Outlier Detection	139
Dimensionality Reduction for Categorical Data	133
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	132
Graph Contrastive Learning With Personalized Augmentation	130
Clustering With Outlier Removal	128
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	127
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	125
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	124
Domain Adaptation on Graphs by Learning Aligned Graph Bases	123
Streaming Graph Embeddings via Incremental Neighborhood Sketching	120
Projective Ranking-based GNN Evasion Attacks	117
Minimum $k$-Vertex Connected Graph Search	113
Latent Representation Guided Multi-View Clustering	113
Generalized Measure-Biased Sampling and Priority Sampling	112
Reinforced Imitative Graph Learning for Mobile User Profiling	111
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	111
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	109
Encoding High-Cardinality String Categorical Variables	108
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	108
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	107
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	107
The Expressive Power of Graph Neural Networks: A Survey	107
Temporal Network Motifs: Models, Limitations, Evaluation	106
Explicit Message-Passing Heterogeneous Graph Neural Network	106
Model Inversion Attacks Against Graph Neural Networks	106
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	105
Neural Text Segmentation and its Application to Sentiment Analysis	104
Attribute Graph Neural Networks for Strict Cold Start Recommendation	102
CCGL: Contrastive Cascade Graph Learning	98
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	97
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	97
Towards De-Anonymization of Google Play Search Rank Fraud	93
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	92
Balanced and Unbalanced Triangle Count in Signed Networks	91
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	90
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	89
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	89
Multi-view Fuzzy Representation Learning with Rules based Model	84
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	84
Network Controllability Perspectives on Graph Representation	84
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	83
Domain-Adversarial Network Alignment	80
Fast Flexible Bipartite Graph Model for Co-Clustering	80
Efficient Radius-Bounded Community Search in Geo-Social Networks	79

Robust Tensor Completion With Side Information	79
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	79
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	77
Online Adaptive Asymmetric Active Learning With Limited Budgets	76
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	74
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	73
Preventing Inferences Through Data Dependencies on Sensitive Data	73
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	73
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	72
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	71
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	70
Amalur: The Convergence of Data Integration and Machine Learning	70
Effortless Locality on Data Systems Using Relational Fabric	69
Job and Employee Embeddings: A Joint Deep Learning Approach	67
Discovery of Cross Joins	66
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	66
Similarity Transitivity Broken-Aware Multi-Modal Hashing	65
Temporal Graph Multi-Aspect Embeddings	65
Large Language Models are In-Context Molecule Learners	63
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	63
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	62
Subgraph Matching With Effective Matching Order and Indexing	62
GPU-Accelerated Structural Diversity Search in Graphs	60
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	60
Provenance Graph Kernel	60
Pattern-Wise Transparent Sequential Recommendation	60
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	59
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	59
Low-Rank Tensor Learning for Incomplete Multiview Clustering	58
GDSRec: Graph-Based DecentralizedCollaborative Filtering for SocialRecommendation	58
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	57
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	56
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	56
Extracting and Composing Robust Features With Broad Learning System	56
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	55
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation	55
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure	55
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	54
Evolutionary Markov Dynamics for Network Community Detection	54
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	54
A Survey on Multi-Task Learning	54
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	53
Authorized Update in Multi-user Homomorphic Encrypted Cloud Database	53
Efficient Algorithms for Personalized PageRank Computation: A Survey	53
Enhancing Factorization Machines With Generalized Metric Learning	53
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	53
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	53
Refining Codes for Locality Sensitive Hashing	53
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	52
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	52
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	52
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	51
Contact Tracing Over Uncertain Indoor Positioning Data	51
Statistically Robust Evaluation of Stream-Based Recommender Systems	51
Collective Decision for Open Set Recognition	51
Motif-Driven Contrastive Learning of Graph Representations	50
Multi-Party Sequential Data Publishing Under Differential Privacy	50
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	50
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs	50
Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction	49
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	49
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	49
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	49
Robust principal component analysis based on discriminant information	48
Detect Professional Malicious User With Metric Learning in Recommender Systems	48
Incorporating User's Preference into Attributed Graph Clustering	48
Reliability Maximization in Uncertain Graphs	47
HOFD: An Outdated Fact Detector for Knowledge Bases	47
Preference and Constraint Factor Model for Event Recommendation	46
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	46
Modeling Signed Networks as 2-Layer Growing Networks	46
Improving Image Similarity Learning by Adding External Memory	46
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	45
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	45
FRAME: Feature Rectification for Class Imbalance Learning	45
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	45
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	45
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	45
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	45
Automatic Treatment Regimen Design	44

HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	44
Point-Set Kernel Clustering	44
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	43
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	43
Exploring Flat Minima for Domain Generalization With Large Learning Rates	43
Identifying Anomalies While Preserving Privacy	43
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	42
Euclidean Distance is Not Your Swiss Army Knife	42
Exploiting Data Skew for Improved Query Performance	42
Random Deep Graph Matching	42
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks	41
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	41
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	41
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	40
CrowdChart: Crowdsourced Data Extraction From Visualization Charts	40
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	40
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	40
Steerable Self-Driving Data Visualization	39
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	39
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing	39
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	39
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	39
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	39
Differentially Private Triangle Counting in Large Graphs	38
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	38
A Survey on Dropout Methods and Experimental Verification in Recommendation	38
Cross-Domain Meta-Learner for Cold-Start Recommendation	38
Knowledge Graph Embedding by Double Limit Scoring Loss	37
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	37
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	37
Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression	37
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	37
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	36
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	36
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	36
A Survey on Deep Reinforcement Learning for Data Processing and Analytics	35
A Survey on Deep Learning for Named Entity Recognition	35
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	35
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	34
Bidirectional Attentive Multi-View Clustering	34
Stable Subgraph Isomorphism Search in Temporal Networks	34
Deep Isolation Forest for Anomaly Detection	34
A Review on Ontology Modularization Techniques - A Multi-Dimensional Perspective	34
Parallel Core Maintenance of Dynamic Graphs	34
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	34
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks	34
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	33
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	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-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	32
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm	32
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space	32
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis	32
Supervised Feature Selection via Multi-Center and Local Structure Learning	32
Self-Supervised Graph Representation Learning via Topology Transformations	32
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	31
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing	31
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs	31
Hierarchical Active Learning With Label Proportions on Data Regions	31
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud	31
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System	30
Publicly Verifiable Databases With All Efficient Updating Operations	30
Hierarchy-Aware Adaptive Graph Neural Network	30
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	30
Intent Propagation Contrastive Collaborative Filtering	30
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	30
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach	30
An Experimental Study on Federated Equi-Joins	30
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	30
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	29
Topic-Guided Conversational Recommender in Multiple Domains	29
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study	29
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning	29
Model Reuse With Reduced Kernel Mean Embedding Specification	29
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	28
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	28
A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction	28
Personalized Elastic Embedding Learning for On-Device Recommendation	28
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	28
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation	28
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	28
Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification	28
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation	28
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks	28
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation	28
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	28
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge	28
Automated Graph Neural Network Search Under Federated Learning Framework	27
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution	27
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation	27
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning	27
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks	27
Feature and Nuclear Norm Minimization for Matrix Completion	27