IEEE Transactions on Knowledge and Data Engineering

Article	Citations
Network Embedding with Dual Generation Tasks	910
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	716
Road-aware Indexing for Trajectory Range Queries	675
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size	472
STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting	437
Collaborative Learning for Extremely Low Bit Asymmetric Hashing	414
Modeling Spatial Trajectories With Attribute Representation Learning	399
Mutual Information-Guided GA for Bayesian Network Structure Learning	334
Automatic Database Knob Tuning: A Survey	296
Answering Skyline Queries Over Incomplete Data With Crowdsourcing	275
Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks	274
CloudRGK: Towards Private Similarity Measurement between Graphs on the Cloud	248
Generating $k$-hop-constrained $s$-$t$ Path Graphs	241
On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets	203
Pre-Training Time-Aware Location Embeddings from Spatial-Temporal Trajectories	195
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks	188
GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs	171
Vertical Federated Learning: Concepts, Advances, and Challenges	161
Nonparametric and Online Change Detection in Multivariate Datastreams Using QuantTree	158
Self-Supervised Learning for Recommender Systems: A Survey	149
Time Series Anomaly Detection With Adversarial Reconstruction Networks	149
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering	148
CS-DAHIN: Community Search Over Dynamic Attribute Heterogeneous Network	145
Generalized Measure-Biased Sampling and Priority Sampling	129
Learning From Noisy Labels via Dynamic Loss Thresholding	120

Multi-View Attributed Network Embedding Using Manifold Regularization Preserving Non-Negative Matrix Factorization	119
A Fast Learned Key-Value Store for Concurrent and Distributed Systems	119
Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning	112
Meta Auxiliary Learning for Top-K Recommendation	112
Robust Bidirectional Poly-Matching	111
Summarizing Provenance of Aggregate Query Results in Relational Databases	109
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation	106
What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences with Features	104
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification	102
Top-$k$ Community Similarity Search Over Large-Scale Road Networks	101
A Trend of AI Conference Convergence in Similarity: An Empirical Study Through Trans-Temporal Heterogeneous Graph	98
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression	98
Least-Mean-Squares Coresets for Infinite Streams	98
Learnable Model Augmentation Contrastive Learning for Sequential Recommendation	95
Deep Learning for Approximate Nearest Neighbour Search: A Survey and Future Directions	94
Short Text Topic Learning Using Heterogeneous Information Network	94
LUNA: Efficient Backward-Private Dynamic Symmetric Searchable Encryption Scheme With Secure Deletion in Encrypted Database	93
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data	93
Efficient Range and kNN Twin Subsequence Search in Time Series	93
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting	91
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks	88
Maximal Clique Search in Weighted Graphs	87
A Methodology to Quickly Perform Opinion Mining and Build Supervised Datasets Using Social Networks Mechanics	85
Multiple Receding Imputation of Time Series Based on Similar Conditions Screening	82
Discovering and Analyzing Contextual Behavioral Patterns From Event Logs	81
Static and Streaming Discovery of Maximal Linear Representation Between Time Series	79
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning	79
CT-Auth: Capacitive Touchscreen-Based Continuous Authentication on Smartphones	79
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability	77
Exploring Privileged Features for Relation Extraction with Contrastive Student-Teacher Learning	77
Large-Scale Nodes Classification With Deep Aggregation Network	72
A Data-driven Approach for Scheduling Bus Services Subject To Demand Constraints	71
2021 Reviewers List	71
Statistical Tests and Association Measures for Business Processes	70
Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN	70
A Comparative Study of Consistent Snapshot Algorithms for Main-Memory Database Systems	70
AI Assistants: A Framework for Semi-Automated Data Wrangling	69
GS$^{2}$-RS: A Generative Approach for Alleviating Cold start and Filter bubbles in Recommender Systems	68
Repulsion-GNNs:Use Repulsion to Supplement Aggregation	68
MSDS: A Novel Framework for Multi-Source Data Selection Based Cross-Network Node Classification	67
Data Lake Organization	66
Hide and Mine in Strings: Hardness, Algorithms, and Experiments	66
On the Performance Intricacies of Persistent Memory Aware Storage Engines	65
GREASE: Graph Imbalance Reduction by Adding Sets of Edges	65
CONNA: Addressing Name Disambiguation on the Fly	65
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection	64
Low-Rank Linear Embedding for Robust Clustering	64
A Diversified Attention Model for Interpretable Multiple Clusterings	64
Modeling and Detecting Communities in Node Attributed Networks	64
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News	62

GraphNAS++: Distributed Architecture Search for Graph Neural Networks	62
Database Meets Artificial Intelligence: A Survey	62
Extracting Top-$k$ Frequent and Diversified Patterns in Knowledge Graphs	61
Karst: Transactional Data Ingestion Without Blocking on a Scalable Architecture	56
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification	56
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	55
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding	55
Breaking the Expression Bottleneck of Graph Neural Networks	55
Graph Matching Via the Lens of Supermodularity	55
Land Use Classification With Point of Interests and Structural Patterns	55
Imbalanced Clustering With Theoretical Learning Bounds	54
Streaming Graph Embeddings via Incremental Neighborhood Sketching	53
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis	53
Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning	53
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	51
Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data	50
An Efficient Data Structure for Dynamic Graph on GPUs	48
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	48
Learning Discriminative Text Representation for Streaming Social Event Detection	47
End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment	46
HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery	46
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	45
Learning Idempotent Representation for Subspace Clustering	45
CheetahTraj: Efficient Visualization for Large Trajectory Dataset With Quality Guarantee	45
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement	44
D&A: Resource Optimization in Personalized PageRank Computations Using Multi-Core Machines	44
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment	43
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks	43
Feature Selection With Discernibility and Independence Criteria	43
The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting	43
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning	43
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	43
Dynamic Graph Regularization for Multi-Stream Concept Drift Self-Adaptation	42
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks	42
Decentralized Privacy Preservation for Critical Connections in Graphs	42
Graph Contrastive Learning With Personalized Augmentation	40
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	40
A Truthful Pricing-Based Defending Strategy Against Adversarial Attacks in Budgeted Combinatorial Multi-Armed Bandits	40
Fast Approximated Multiple Kernel K-Means	39
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks	39
Formal Analysis and Estimation of Chance in Datasets Based on Their Properties	39
Privacy-Preserving Stochastic Gradual Learning	39
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	39
Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling	39
Cohesive Subgraph Discovery Over Uncertain Bipartite Graphs	38
Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures	38
A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective	38
Truth Discovery by Claim and Source Embedding	38
Adversarial Attacks Against Deep Generative Models on Data: A Survey	38
A New Approach for Semi-External Topological Sorting on Big Graphs	38
Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness	38
Broad Learning Autoencoder With Graph Structure for Data Clustering	38
Scalable Identity-Oriented Speech Retrieval	37
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer	37
Quality Inference Based Task Assignment in Mobile Crowdsensing	37
Domain Adaptation on Graphs by Learning Aligned Graph Bases	36
Mining Triangle-Dense Subgraphs of a Fixed Size: Hardness, Lovasz extension and ´ Applications	36
Magnitude Bounded Matrix Factorisation for Recommender Systems	36
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network	36
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	36
A Survey on Neural Data-to-Text Generation	35
Towards More General Loss and Setting in Unsupervised Domain Adaptation	35
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination	35
PF-HIN:Pre-Training for Heterogeneous Information Networks	35
An Effective Imbalanced JPEG Steganalysis Scheme Based on Adaptive Cost-Sensitive Feature Learning	34
Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts	34
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	34
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset	34
Embedded Transaction Support Inside SSD With Small-Capacity Non-Volatile Disk Cache	33
MPV: Enabling Fine-Grained Query Authentication in Hybrid-Storage Blockchain	33
Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency	33
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation	33
Reinforced Imitative Graph Learning for Mobile User Profiling	33
H-Diffu: Hyperbolic Representations for Information Diffusion Prediction	33
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	33
Network Representation Lightening from Hashing to Quantization	32
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks	32
Development of fully convolutional neural networks based on discretization in time series classification	32
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs	32
Disambiguation of Semantic Relations Using Evidence Aggregation According to a Sense Inventory	32

Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation	32
Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning	32
Vertex Encoding for Edge Nonexistence Determination With SIMD Acceleration	32
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation	32
An Efficient Verification Approach to Separation of Duty in Attribute-Based Access Control	30
Efficient and Privacy-Preserving Skyline Queries Over Encrypted Data Under a Blockchain-Based Audit Architecture	30
AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining	30
Data-Aware Adaptive Compression for Stream Processing	30
Maintaining Top-$t$ Cores in Dynamic Graphs	30
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration	30
WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm	29
Global Combination and Clustering Based Differential Privacy Mixed Data Publishing	28
Data Anonymization With Diversity Constraints	28
Dimensionality Reduction for Categorical Data	28
DataOps-4G: On Supporting Generalists in Data Quality Discovery	28
Privacy-Preserving Boolean Range Query with Temporal Access Control in Mobile Computing	28
Spectral Adversarial Training for Robust Graph Neural Network	27
Self-Learning Symmetric Multi-View Probabilistic Clustering	27
DP2-Pub: Differentially Private High-Dimensional Data Publication With Invariant Post Randomization	27
A Similarity-based Framework for Classification Task	27
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution	27
Explicit Message-Passing Heterogeneous Graph Neural Network	27
Clustering With Outlier Removal	26
Learning Vertex Representations for Bipartite Networks	26
Continuous Trajectory Similarity Search for Online Outlier Detection	26
Neural Named Entity Boundary Detection	26
Hyperbolic Neural Collaborative Recommender	26
Learning Deep Graph Representations via Convolutional Neural Networks	26
Learning Holistic Interactions in LBSNs with High-order, Dynamic, and Multi-role Contexts	26
Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval	26
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method	26
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network	26
veffChain: Enabling Freshness Authentication of Rich Queries Over Blockchain Databases	25
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation	25
XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding	25
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	25
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection	24
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions	24
Learning to Understand the Vague Graph for Stock Prediction With Momentum Spillovers	24
Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture	24
Single-Source Personalized PageRanks with Workload Robustness	24
Learning to Rank for Uplift Modeling	24
Kullback-Leibler Divergence-Based Out-of-Distribution Detection With Flow-Based Generative Models	24
Concept Drift Detection Delay Index	23
Incomplete Multiview Clustering Using Normalizing Alignment Strategy With Graph Regularization	23
Decision Tree Learning for Uncertain Clinical Measurements	23
GloDyNE: Global Topology Preserving Dynamic Network Embedding	23
Persuade to Click: Context-aware Persuasion Model for Online Textual Advertisement	23
An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection	23
Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates	23
Generating Characteristic Summaries for Entity Descriptions	23
Reveal Your Images: Gradient Leakage Attack Against Unbiased Sampling-Based Secure Aggregation	23
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework	23
Link Prediction in Stagewise Graphs	22
Learning Region Similarities via Graph-Based Deep Metric Learning	22
Similar Sports Play Retrieval With Deep Reinforcement Learning	22
Learning a Structural Causal Model for Intuition Reasoning in Conversation	22
Leveraging Currency for Repairing Inconsistent and Incomplete Data	22
Efficient Community Search in Edge-Attributed Graphs	22
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle	22
Periodic Communities Mining in Temporal Networks: Concepts and Algorithms	22
Finding Route Hotspots in Large Labeled Networks	22
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	21
Gradual Machine Learning for Entity Resolution	21
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing	21
Interpretation of Structural Preservation in Low-Dimensional Embeddings	21
An Efficient and Distributed Framework for Real-Time Trajectory Stream Clustering	21
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification	21
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning	21
Cross-Database Micro-Expression Recognition: A Benchmark	21
Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation	21
Flexible Tensor Learning for Multi-View Clustering With Markov Chain	20
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation	20
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting	20
Model-Free Subsampling Method Based on Uniform Designs	20
Context-Aware Service Recommendation Based on Knowledge Graph Embedding	20
Contrastive Graph Representations for Logical Formulas Embedding	19
Neural Text Segmentation and its Application to Sentiment Analysis	19
Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation	19
Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks	19
Imitation Learning of Neural Spatio-Temporal Point Processes	19
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	19
Event Detection on Microposts: A Comparison of Four Approaches	19
Classification in Dynamic Data Streams With a Scarcity of Labels	19
Aligning Dynamic Social Networks: An Optimization over Dynamic Graph Autoencoder	19
Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data	19
HATR-I: Hierarchical Adaptive Temporal Relational Interaction for Stock Trend Prediction	19
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	19
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding	19
Projective Ranking-based GNN Evasion Attacks	19
Multi-Dimensional Classification via Decomposed Label Encoding	19
Multi-Task Weakly Supervised Learning for Origin–Destination Travel Time Estimation	18
Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter	18
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	18
Personalized Prompt for Sequential Recommendation	18