IEEE Transactions on Knowledge and Data Engineering

Article	Citations
Generating Characteristic Summaries for Entity Descriptions	1490
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	942
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	926
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	749
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	706
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	597
Continuous Trajectory Similarity Search for Online Outlier Detection	541
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	532
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	508
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	507
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	505
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	467
Road-aware Indexing for Trajectory Range Queries	430
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	287
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	264
Learning Idempotent Representation for Subspace Clustering	255
Network Representation Lightening from Hashing to Quantization	250
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	232
Data-Aware Adaptive Compression for Stream Processing	230
Domain Adaptation on Graphs by Learning Aligned Graph Bases	224
Explicit Message-Passing Heterogeneous Graph Neural Network	222
Modeling and Detecting Communities in Node Attributed Networks	220
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	217
The Expressive Power of Graph Neural Networks: A Survey	212
Temporal Network Motifs: Models, Limitations, Evaluation	199

A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	197
Simplified Graph Contrastive Learning Model Without Augmentation	193
Encoding High-Cardinality String Categorical Variables	192
Dimensionality Reduction for Categorical Data	190
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	174
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	172
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	169
Latent Representation Guided Multi-View Clustering	160
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	160
CryptIF: Towards Cloud-based IoT Anomaly Detection over Encrypted Feature Streams	158
Model-Free Subsampling Method Based on Uniform Designs	158
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	156
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	151
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	148
Graph Contrastive Learning With Personalized Augmentation	146
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	146
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	145
Projective Ranking-based GNN Evasion Attacks	140
Scalable Identity-Oriented Speech Retrieval	136
Generating kk-Hop-Constrained ss-tt Path Graphs	134
Generalized Measure-Biased Sampling and Priority Sampling	131
Minimum $k$-Vertex Connected Graph Search	127
Reinforced Imitative Graph Learning for Mobile User Profiling	127
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	126
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	124
Attribute Graph Neural Networks for Strict Cold Start Recommendation	121
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	120
Learning Discriminative Text Representation for Streaming Social Event Detection	120
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	118
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	117
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	113
Breaking information granularity heterogeneity: a mutual information-inspired causal discovery framework for multi-rate time series	111
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	109
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	109
Streaming Graph Embeddings via Incremental Neighborhood Sketching	107
Model Inversion Attacks Against Graph Neural Networks	107
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	106
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	105
Neural Text Segmentation and its Application to Sentiment Analysis	104
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	103
A Similarity-based Framework for Classification Task	102
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	101
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	100
Preventing Inferences Through Data Dependencies on Sensitive Data	100
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	100
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	98
Discovery of Cross Joins	98
Temporal Graph Multi-Aspect Embeddings	98
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	95
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	93

Effortless Locality on Data Systems Using Relational Fabric	93
GPU-Accelerated Structural Diversity Search in Graphs	90
Pattern-Wise Transparent Sequential Recommendation	90
KnobCF: Uncertainty-aware Knob Tuning	89
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	88
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	85
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	82
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	81
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	80
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	80
Subgraph Matching With Effective Matching Order and Indexing	80
Multi-view Fuzzy Representation Learning with Rules based Model	79
Efficient Radius-Bounded Community Search in Geo-Social Networks	78
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	78
Large Language Models are In-Context Molecule Learners	78
Towards De-Anonymization of Google Play Search Rank Fraud	77
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	76
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation	75
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	74
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	73
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	73
Network Controllability Perspectives on Graph Representation	72
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	72
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	72
Similarity Transitivity Broken-Aware Multi-Modal Hashing	72
Robust Tensor Completion With Side Information	72
BLITZ: A Flexible and Efficient Graph Mining System	71
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	71
Serial-parallel Fractional-integer-order Echo state Network for Time Series Prediction	71
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	71
Fast Flexible Bipartite Graph Model for Co-Clustering	68
CCGL: Contrastive Cascade Graph Learning	68
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	68
Provenance Graph Kernel	67
Amalur: The Convergence of Data Integration and Machine Learning	67
Balanced and Unbalanced Triangle Count in Signed Networks	66
GDSRec: Graph-Based DecentralizedCollaborative Filtering for SocialRecommendation	66
Job and Employee Embeddings: A Joint Deep Learning Approach	66
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	65
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	65
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	64
Evolutionary Markov Dynamics for Network Community Detection	64
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	63
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	62
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	62
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	62
Efficient Algorithms for Personalized PageRank Computation: A Survey	61
Extracting and Composing Robust Features With Broad Learning System	61
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	61
Domain-Adversarial Network Alignment	61
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	61
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	61
Low-Rank Tensor Learning for Incomplete Multiview Clustering	60
Authorized Update in Multi-user Homomorphic Encrypted Cloud Database	59
A Survey on Multi-Task Learning	59
GAN-Based Hybrid Sampling Method for Transaction Fraud Detection	58
Multi-Party Sequential Data Publishing Under Differential Privacy	58
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs	58
A Survey on Deep Reinforcement Learning for Data Processing and Analytics	57
Online Outlier Detection in Open Feature Spaces	57
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast	56
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency	56
Improving Image Similarity Learning by Adding External Memory	56
HOFD: An Outdated Fact Detector for Knowledge Bases	56
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently	55
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	55
Handling New Class in Online Label Shift	55
Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network	54
Random Deep Graph Matching	53
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity	53
Euclidean Distance is Not Your Swiss Army Knife	53
Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction	53
Refining Codes for Locality Sensitive Hashing	52
Cross-lingual Named Entity Recognition Method Based on Multi-channel and Multi-teacher Models	52
GADE+: a Graph-based Anchor-enhanced Framework for Targeted Document Detection	52
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective	52
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks	52
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques	52
Anchors-Based Incremental Embedding for Growing Knowledge Graphs	51
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	51

CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction	51
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification	51
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing	51
A Survey on Dropout Methods and Experimental Verification in Recommendation	51
Detect Professional Malicious User With Metric Learning in Recommender Systems	50
Contact Tracing Over Uncertain Indoor Positioning Data	50
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction	49
Modeling Signed Networks as 2-Layer Growing Networks	49
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	49
FRAME: Feature Rectification for Class Imbalance Learning	49
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	49
Point-Set Kernel Clustering	48
Reliability Maximization in Uncertain Graphs	48
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer	47
Notice of Retraction: CHN: an efficient algorithm for mining closed high utility itemsets with negative utility	47
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework	47
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks	46
Knowledge Graph Embedding by Double Limit Scoring Loss	46
Identifying Anomalies While Preserving Privacy	46
CrowdChart: Crowdsourced Data Extraction From Visualization Charts	46
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals	46
TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring	46
Cross-Domain Meta-Learner for Cold-Start Recommendation	46
Automatic Treatment Regimen Design	46
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	45
Preference and Constraint Factor Model for Event Recommendation	45
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective	45
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction	45
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy	44
Parallel Core Maintenance of Dynamic Graphs	44
Exploiting Data Skew for Improved Query Performance	44
Incorporating User's Preference into Attributed Graph Clustering	43
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations	43
Steerable Self-Driving Data Visualization	42
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System	42
Exploring Flat Minima for Domain Generalization With Large Learning Rates	41
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	41
Prompt Tuning on Graph-Augmented Low-Resource Text Classification	41
Collective Decision for Open Set Recognition	41
Enhancing Factorization Machines With Generalized Metric Learning	41
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting	40
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection	40
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction	39
A Survey on Deep Learning for Named Entity Recognition	39
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples	39
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	39
Motif-Driven Contrastive Learning of Graph Representations	38
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement	38
Differentially Private Triangle Counting in Large Graphs	38
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	38
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing	38
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling	37
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	37
Bidirectional Attentive Multi-View Clustering	37
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules	37
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	36
Robust principal component analysis based on discriminant information	36
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis	36
Sparse Graph Attention Networks	36
Deep Isolation Forest for Anomaly Detection	36
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction	36
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network	36
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	36
Towards Hierarchical Intent Disentanglement for Bundle Recommendation	36
Instance Selection via Voronoi Neighbors for Binary Classification Tasks	36
Improving Automatic Parallel Training via Balanced Memory Workload Optimization	36
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning	35
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks	35
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data	35
Hierarchical Active Learning With Label Proportions on Data Regions	35
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks	35
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation	34
Automated Graph Neural Network Search Under Federated Learning Framework	34
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory	34
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution	34
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning	34
Stable Subgraph Isomorphism Search in Temporal Networks	34
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement	34
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks	34
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation	34
Adaptive Magnetic-Graph Clustering	34
Auto-Encoding Neural Tucker Factorization	34
LBF-VQA: Towards Language Bias-Free Visual Question Answering with Multi-Space Collaborative Debiasing	34
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations	33
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space	33
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning	33
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach	32
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation	32
A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator	32
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers	32
Machine Unlearning Through Fine-Grained Model Parameters Perturbation	32
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation	32
Structural and Textual Information Fusion for Symptom and Disease Representation Learning	32
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection	32
KGGen: A Generative Approach for Incipient Knowledge Graph Population	31