IEEE Transactions on Knowledge and Data Engineering

Article	Citations
Dimensionality Reduction for Categorical Data	1146
A Similarity-based Framework for Classification Task	818
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	809
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	554
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	551
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	494
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	419
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	408
Modeling and Detecting Communities in Node Attributed Networks	373
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	372
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	361
Explicit Message-Passing Heterogeneous Graph Neural Network	309
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	282
Learning Idempotent Representation for Subspace Clustering	273
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	199
Generalized Measure-Biased Sampling and Priority Sampling	191
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	189
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	182
Scalable Identity-Oriented Speech Retrieval	182
Generating Characteristic Summaries for Entity Descriptions	176
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	173
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	166
Domain Adaptation on Graphs by Learning Aligned Graph Bases	165
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data	164
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	164

Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	155
Network Representation Lightening from Hashing to Quantization	155
Road-aware Indexing for Trajectory Range Queries	149
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	141
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	136
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	135
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	133
Data-Aware Adaptive Compression for Stream Processing	129
Projective Ranking-based GNN Evasion Attacks	128
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	124
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	123
Generating kk-Hop-Constrained ss-tt Path Graphs	122
Continuous Trajectory Similarity Search for Online Outlier Detection	121
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	120
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	119
Attribute Graph Neural Networks for Strict Cold Start Recommendation	114
Model-Free Subsampling Method Based on Uniform Designs	113
Streaming Graph Embeddings via Incremental Neighborhood Sketching	111
Neural Text Segmentation and its Application to Sentiment Analysis	111
Encoding High-Cardinality String Categorical Variables	110
Learning Discriminative Text Representation for Streaming Social Event Detection	109
Reinforced Imitative Graph Learning for Mobile User Profiling	107
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	106
Model Inversion Attacks Against Graph Neural Networks	106
The Expressive Power of Graph Neural Networks: A Survey	105
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	105
Latent Representation Guided Multi-View Clustering	105
Graph Contrastive Learning With Personalized Augmentation	104
Temporal Network Motifs: Models, Limitations, Evaluation	103
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	101
Clustering With Outlier Removal	101
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	100
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	96
GPU-accelerated Structural Diversity Search in Graphs	95
CCGL: Contrastive Cascade Graph Learning	94
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	92
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	91
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	90
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	89
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	89
Efficient Radius-Bounded Community Search in Geo-Social Networks	88
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	86
Towards De-Anonymization of Google Play Search Rank Fraud	84
Subgraph Matching With Effective Matching Order and Indexing	83
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	82
Balanced and Unbalanced Triangle Count in Signed Networks	80
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	80
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	78
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	77
Multi-view Fuzzy Representation Learning with Rules based Model	77

Network Controllability Perspectives on Graph Representation	76
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation	74
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	74
Online Adaptive Asymmetric Active Learning With Limited Budgets	73
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	71
Evolutionary Markov Dynamics for Network Community Detection	69
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	68
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	68
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	67
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	67
Fast Flexible Bipartite Graph Model for Co-Clustering	67
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	65
Preventing Inferences Through Data Dependencies on Sensitive Data	65
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	64
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	64
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	64
Amalur: The Convergence of Data Integration and Machine Learning	63
GDSRec: Graph-Based DecentralizedCollaborative Filtering for SocialRecommendation	61
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	60
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	60
Discovery of Cross Joins	59
Job and Employee Embeddings: A Joint Deep Learning Approach	59
Effortless Locality on Data Systems Using Relational Fabric	59
Temporal Graph Multi-Aspect Embeddings	58
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	58
Similarity Transitivity Broken-Aware Multi-Modal Hashing	57
Pattern-Wise Transparent Sequential Recommendation	57
Provenance Graph Kernel	57
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	56
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	56
Large Language Models are In-Context Molecule Learners	55
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	54
Domain-Adversarial Network Alignment	54
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	53
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	53
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	53
Low-Rank Tensor Learning for Incomplete Multiview Clustering	53
A Survey on Multi-Task Learning	52
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure	52
Efficient Algorithms for Personalized PageRank Computation: A Survey	52
Extracting and Composing Robust Features With Broad Learning System	52
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	51
Authorized Update in Multi-user Homomorphic Encrypted Cloud Database	51
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	51
Refining Codes for Locality Sensitive Hashing	51
Cross-Domain Meta-Learner for Cold-Start Recommendation	51
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	51
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	50
Enhancing Factorization Machines With Generalized Metric Learning	50
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	50
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	50
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	50
A Survey on Deep Reinforcement Learning for Data Processing and Analytics	49
Statistically Robust Evaluation of Stream-Based Recommender Systems	49
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	48
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	48
Contact Tracing Over Uncertain Indoor Positioning Data	48
Bidirectional Attentive Multi-View Clustering	47
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	46
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	46
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	46
Collective Decision for Open Set Recognition	45
CrowdChart: Crowdsourced Data Extraction From Visualization Charts	45
Steerable Self-Driving Data Visualization	45
Robust principal component analysis based on discriminant information	44
Reliability Maximization in Uncertain Graphs	44
Detect Professional Malicious User With Metric Learning in Recommender Systems	44
A Survey on Dropout Methods and Experimental Verification in Recommendation	44
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	44
Preference and Constraint Factor Model for Event Recommendation	44
Incorporating User's Preference into Attributed Graph Clustering	44
Modeling Signed Networks as 2-Layer Growing Networks	44
HOFD: An Outdated Fact Detector for Knowledge Bases	44
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	43
Knowledge Graph Embedding by Double Limit Scoring Loss	43
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	43
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	43
Improving Image Similarity Learning by Adding External Memory	43
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	42
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	42

A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	42
FRAME: Feature Rectification for Class Imbalance Learning	42
Point-Set Kernel Clustering	41
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	41
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	41
Automatic Treatment Regimen Design	40
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs	40
Identifying Anomalies While Preserving Privacy	40
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	39
Motif-Driven Contrastive Learning of Graph Representations	39
Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction	39
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	39
Exploring Flat Minima for Domain Generalization With Large Learning Rates	39
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	39
Differentially Private Triangle Counting in Large Graphs	38
Random Deep Graph Matching	38
Euclidean Distance is Not Your Swiss Army Knife	38
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	37
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	37
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	37
Exploiting Data Skew for Improved Query Performance	37
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	37
Parallel Core Maintenance of Dynamic Graphs	37
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	36
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	36
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing	36
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	36
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	36
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks	36
Deep Isolation Forest for Anomaly Detection	35
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	35
A Survey on Deep Learning for Named Entity Recognition	35
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	34
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	34
Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression	33
A Review on Ontology Modularization Techniques - A Multi-Dimensional Perspective	33
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	33
Stable Subgraph Isomorphism Search in Temporal Networks	33
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	33
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	33
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks	33
Multi-Party Sequential Data Publishing Under Differential Privacy	33
Complementary Learning Subnetworks towards Parameter-Efficient Class-Incremental Learning	32
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	32
Feature and Nuclear Norm Minimization for Matrix Completion	32
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	32
Topic-Guided Conversational Recommender in Multiple Domains	32
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	31
KGGen: A Generative Approach for Incipient Knowledge Graph Population	31
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction	31
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	31
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	30
Self-Supervised Graph Representation Learning via Topology Transformations	30
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis	30
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm	30
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge	30
Model Reuse With Reduced Kernel Mean Embedding Specification	30
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs	29
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution	29
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	29
Supervised Feature Selection via Multi-Center and Local Structure Learning	29
Hierarchical Active Learning With Label Proportions on Data Regions	29
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing	29
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space	29
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud	29
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	29
Hierarchy-Aware Adaptive Graph Neural Network	28
A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction	28
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation	28
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks	28
Intent Propagation Contrastive Collaborative Filtering	28
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation	28
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	28
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	28
Publicly Verifiable Databases With All Efficient Updating Operations	28
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	27
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering	27
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System	27
Automated Graph Neural Network Search Under Federated Learning Framework	27
An Experimental Study on Federated Equi-Joins	27
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach	27
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation	27
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	27
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks	26
Multi-level Attention Map Network for Multimodal Sentiment Analysis	26
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark	26
Structure-Aware Subspace Clustering	26
Personalized Elastic Embedding Learning for On-Device Recommendation	26
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	26
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	26
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection	26
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study	26
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation	26
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation	26
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning	25