IEEE Transactions on Knowledge and Data Engineering

Article	Citations
A Survey on Multi-Task Learning	807
Deep Learning on Graphs: A Survey	664
A Survey on Deep Learning for Named Entity Recognition	645
Self-supervised Learning: Generative or Contrastive	560
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective	448
A Survey on Knowledge Graph-Based Recommender Systems	379
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications	366
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection	341
Deep Learning for Spatio-Temporal Data Mining: A Survey	312
Generalizing to Unseen Domains: A Survey on Domain Generalization	271
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning	256
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems	254
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting	248
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction	227
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework	219
A Survey on Deep Semi-Supervised Learning	216
A Survey of Utility-Oriented Pattern Mining	188
Extended Isolation Forest	184
A General Survey on Attention Mechanisms in Deep Learning	160
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing	154
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning	152
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis	149
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation	147
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories	145
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey	140

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation	130
Graph Self-Supervised Learning: A Survey	120
Modeling Relation Paths for Knowledge Graph Completion	112
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection	112
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection	112
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation	111
Unified One-Step Multi-View Spectral Clustering	109
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification	104
Label Enhancement for Label Distribution Learning	102
Interpretable and Efficient Heterogeneous Graph Convolutional Network	101
A Survey on Canonical Correlation Analysis	100
A Correlation Graph based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development	98
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark	98
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	97
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	94
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification	94
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges	93
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News	91
Few-Shot Named Entity Recognition via Meta-Learning	88
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	87
An Integrated Multi-Task Model for Fake News Detection	85
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks	85
A Graph Neural Network Framework for Social Recommendations	85
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks	84
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure	83
Consensus One-Step Multi-View Subspace Clustering	83
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals	83
Unifying Large Language Models and Knowledge Graphs: A Roadmap	81
Challenges in KNN Classification	80
Clustering with Local Density Peaks-Based Minimum Spanning Tree	79
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	79
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions	78
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity	75
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems	71
Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding	70
Social-Enhanced Attentive Group Recommendation	70
NeuLFT: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors	69
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	68
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks	68
Joint Deep Multi-View Learning for Image Clustering	67
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems	66
Self-Supervised Learning for Recommender Systems: A Survey	66
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering	66
CED: Credible Early Detection of Social Media Rumors	65
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation	65
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress	65
Faster Domain Adaptation Networks	64
Spatio-Temporal Meta Learning for Urban Traffic Prediction	64
Database Meets Artificial Intelligence: A Survey	64
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity	64

Gaussian Distribution Based Oversampling for Imbalanced Data Classification	62
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System	62
Adversarial Attack and Defense on Graph Data: A Survey	61
Learning Graph Representation With Generative Adversarial Nets	60
Multi-view Attributed Graph Clustering	59
Deep Isolation Forest for Anomaly Detection	58
Multi-View Support Vector Machines with the Consensus and Complementarity Information	57
On Distributed Computing Continuum Systems	57
Multi-Modal Knowledge Graph Construction and Application: A Survey	56
Learning to Recommend With Multiple Cascading Behaviors	56
Dynamic Graph Neural Networks for Sequential Recommendation	56
A Variational Bayesian Framework for Cluster Analysis in a Complex Network	56
Evolutionary Markov Dynamics for Network Community Detection	55
A Survey on Data Pricing: From Economics to Data Science	55
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	55
Efficient Utilization of Missing Data in Cost-Sensitive Learning	54
Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval	54
On Both Cold-Start and Long-Tail Recommendation with Social Data	54
A Complex Weighted Discounting Multisource Information Fusion With its Application in Pattern Classification	53
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence	53
Label Distribution Learning with Label Correlations on Local Samples	53
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention	53
Encoding High-Cardinality String Categorical Variables	52
Destination-Aware Task Assignment in Spatial Crowdsourcing: A Worker Decomposition Approach	52
Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems	50
A Comprehensive Survey on Multi-View Clustering	47
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing	47
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework	47
Applications of Differential Privacy in Social Network Analysis: A Survey	46
A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution	46
Modelling High-Order Social Relations for Item Recommendation	46
Bloom Filter with Noisy Coding Framework for Multi-Set Membership Testing	45
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering	45
Cross-Database Micro-Expression Recognition: A Benchmark	45
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification	45
Predicting Destinations by a Deep Learning based Approach	44
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation	44
Subgraph Networks With Application to Structural Feature Space Expansion	44
Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization	43
GM-PLL: Graph Matching Based Partial Label Learning	43
DCT-GAN: Dilated Convolutional Transformer-Based GAN for Time Series Anomaly Detection	43
Role-Based Graph Embeddings	43
Sparse Graph Attention Networks	43
GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs	43
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection	43
Deep Feature-Based Text Clustering and its Explanation	42
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks	42
Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning	42
Fast Multi-View Semi-Supervised Learning With Learned Graph	41
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	41
Context-Aware Service Recommendation Based on Knowledge Graph Embedding	40
Social Boosted Recommendation With Folded Bipartite Network Embedding	40
Dynamic Prototype Network based on Sample Adaptation for Few-Shot Malware Detection	40
Low-Rank Tensor Based Proximity Learning for Multi-View Clustering	39
Clustering With Outlier Removal	39
An Effective and Efficient Algorithm for K-Means Clustering With New Formulation	39
Incremental Weighted Ensemble Broad Learning System for Imbalanced Data	39
Privacy Preserving Location Data Publishing: A Machine Learning Approach	39
CSKG4APT: A Cybersecurity Knowledge Graph for Advanced Persistent Threat Organization Attribution	39
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection	38
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks	38
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey	38
MAB-Based Reinforced Worker Selection Framework for Budgeted Spatial Crowdsensing	38
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation	38
Achieving Privacy-Preserving and Lightweight Truth Discovery in Mobile Crowdsensing	38
Graph Vulnerability and Robustness: A Survey	38
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning	38
Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection	37
Heterogeneous Graph Propagation Network	37
CAPER: Context-Aware Personalized Emoji Recommendation	37
Knowledge Graph Quality Management: a Comprehensive Survey	37
Multiview Semi-Supervised Learning Model for Image Classification	37
Social Recommendation With Learning Personal and Social Latent Factors	36
Attribute Graph Neural Networks for Strict Cold Start Recommendation	36
A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning	36
Time Series Anomaly Detection With Adversarial Reconstruction Networks	36
Efficient Shapelet Discovery for Time Series Classification	36
A Reliable Storage Partition for Permissioned Blockchain	36
Memory-Guided Multi-View Multi-Domain Fake News Detection	35
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	35

Adversarial Attack on Large Scale Graph	35
Quality Inference Based Task Assignment in Mobile Crowdsensing	35
Stable Community Detection in Signed Social Networks	35
Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-modal Retrieval	35
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics	34
Knowledge Graph Embedding Based on Multi-View Clustering Framework	34
Biomedical Knowledge Graph Embedding with Capsule Network for Multi-label Drug-Drug Interaction Prediction	34
A Survey on Generative Diffusion Models	34
Security and Privacy Implications on Database Systems in Big Data Era: A Survey	34
Fuzzy K-Means Clustering With Discriminative Embedding	34
Multi-Task Learning for Recommendation Over Heterogeneous Information Network	34
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis	33
Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique	33
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space	33
Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs	33
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy	33
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation	33
Efficient Hashing Method Using 2D-2D PCA for Image Copy Detection	32
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network	32
Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective	32
Domain Adaptation on Graphs by Learning Aligned Graph Bases	32
Dynamic Opinion Maximization in Social Networks	32
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph	32
Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN	32
A Novel Outlier Detection Method for Multivariate Data	31
An Embedding-Based Approach to Rule Learning in Knowledge Graphs	30
Pattern Classification With Corrupted Labeling via Robust Broad Learning System	30
Network Embedding With Completely-Imbalanced Labels	30
Hierarchical Multi-View Graph Pooling with Structure Learning	30
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI	30
A Unified Framework for Cross-Domain and Cross-System Recommendations	30
Modality-Invariant Asymmetric Networks for Cross-Modal Hashing	30
Intention-Aware Sequential Recommendation With Structured Intent Transition	30
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction	30
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation	29
Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality	28
In Pursuit of Beauty: Aesthetic-Aware and Context-Adaptive Photo Selection in Crowdsensing	28
Complex Knowledge Base Question Answering: A Survey	28
Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System	28
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction	28
KNN Classification with One-step Computation	27
Incremental Factorization of Big Time Series Data with Blind Factor Approximation	27
Heterogeneous Graph Representation Learning with Relation Awareness	27
A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks	27
Reachable Distance Function for KNN Classification	27
Vertical Federated Learning: Concepts, Advances, and Challenges	27
Fairness in Graph Mining: A Survey	27
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks	27
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach	27
mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding	26
Data Lakes: A Survey of Functions and Systems	26
Steerable Self-Driving Data Visualization	26
Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage	26
A High Performance Concurrency Protocol for Smart Contracts of Permissioned Blockchain	26
Collective Decision for Open Set Recognition	26
Unsupervised Discriminative Projection for Feature Selection	26
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift	26
MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation	26
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services	26
Tackling Overfitting in Boosting for Noisy Healthcare Data	25
Heterogeneous Latent Topic Discovery for Semantic Text Mining	25
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations	25
A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing	25
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation	25
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering	25
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	25
On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets	25
Point-of-Interest Recommendation With Global and Local Context	24
Publicly Verifiable Databases With All Efficient Updating Operations	24
Extracting and Composing Robust Features With Broad Learning System	24
Optimal Neighborhood Multiple Kernel Clustering with Adaptive Local Kernels	24
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering	24
Fast LDP-MST: An Efficient Density-Peak-Based Clustering Method for Large-Size Datasets	24
Abstractive Multi-Document Summarization Based on Semantic Link Network	24
Robust Detection of Link Communities With Summary Description in Social Networks	24
TTPNet: A Neural Network for Travel Time Prediction Based on Tensor Decomposition and Graph Embedding	23
Neural Text Segmentation and its Application to Sentiment Analysis	23
Multiplex Graph Representation Learning Via Dual Correlation Reduction	23
GCCAD: Graph Contrastive Learning for Anomaly Detection	23
Intervening Coupling Diffusion of Competitive Information in Online Social Networks	23
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination	23
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution	23
A Hybrid Deep Network Framework for Android Malware Detection	23
Channel Attention for Sensor-Based Activity Recognition: Embedding Features into all Frequencies in DCT Domain	23
Incomplete Multi-view Clustering with Joint Partition and Graph Learning	23
Self-Supervised Graph Completion for Incomplete Multi-View Clustering	23
A Fast Local Balanced Label Diffusion Algorithm for Community Detection in Social Networks	23
A General Centrality Framework-Based on Node Navigability	22
Discovering Relaxed Functional Dependencies Based on Multi-Attribute Dominance	22
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection	22
SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams	22
A Survey of Knowledge Enhanced Pre-Trained Language Models	22
Data Management for Machine Learning: A Survey	22
Metagraph-Based Learning on Heterogeneous Graphs	22
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting	22