IEEE Transactions on Knowledge and Data Engineering

Article	Citations
A Survey on Multi-Task Learning	583
Deep Learning on Graphs: A Survey	546
A Survey on Deep Learning for Named Entity Recognition	513
Self-supervised Learning: Generative or Contrastive	426
GMC: Graph-Based Multi-View Clustering	412
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective	384
Reliable Accuracy Estimates from k-Fold Cross Validation	370
A Survey on Knowledge Graph-Based Recommender Systems	292
Ultra-Scalable Spectral Clustering and Ensemble Clustering	253
Deep Learning for Spatio-Temporal Data Mining: A Survey	231
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications	229
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection	227
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning	195
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems	185
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework	184
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction	182
A Survey of Utility-Oriented Pattern Mining	177
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting	157
Generalizing to Unseen Domains: A Survey on Domain Generalization	155
Extended Isolation Forest	151
Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement	146
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing	130
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis	130
A Survey on Deep Semi-Supervised Learning	122
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning	121

Short Text Topic Modeling Techniques, Applications, and Performance: A Survey	120
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories	119
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation	114
Feature Selection for Neural Networks Using Group Lasso Regularization	113
Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics	108
A General Survey on Attention Mechanisms in Deep Learning	102
Modeling Relation Paths for Knowledge Graph Completion	99
SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis	99
On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification	97
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation	93
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection	92
Adversarial Training Towards Robust Multimedia Recommender System	92
A Correlation Graph based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development	90
A Hybrid E-Learning Recommendation Approach Based on Learners’ Influence Propagation	88
Interpretable and Efficient Heterogeneous Graph Convolutional Network	87
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	87
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification	86
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection	83
Label Enhancement for Label Distribution Learning	81
Few-Shot Named Entity Recognition via Meta-Learning	81
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification	81
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation	81
Graph Self-Supervised Learning: A Survey	80
A Survey on Canonical Correlation Analysis	80
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark	77
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data	76
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	73
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News	73
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	72
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning	71
A Graph Neural Network Framework for Social Recommendations	67
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure	66
Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding	66
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation	65
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks	63
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	63
Parallel Simulated Annealing with a Greedy Algorithm for Bayesian Network Structure Learning	61
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity	61
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals	60
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems	60
Faster Domain Adaptation Networks	60
Clustering with Local Density Peaks-Based Minimum Spanning Tree	60
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks	58
Social-Enhanced Attentive Group Recommendation	57
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges	57
CED: Credible Early Detection of Social Media Rumors	56
Unified One-Step Multi-View Spectral Clustering	56
Consensus One-Step Multi-View Subspace Clustering	55
A Variational Bayesian Framework for Cluster Analysis in a Complex Network	55
Learning Graph Representation With Generative Adversarial Nets	54

NeuLFT: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors	54
Evaluating Overfit and Underfit in Models of Network Community Structure	54
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System	53
Citywide Bike Usage Prediction in a Bike-Sharing System	53
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation	53
Evolutionary Markov Dynamics for Network Community Detection	53
Multi-View Support Vector Machines with the Consensus and Complementarity Information	53
Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval	53
An Integrated Multi-Task Model for Fake News Detection	53
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation	53
Generalized Translation-Based Embedding of Knowledge Graph	52
Joint Deep Multi-View Learning for Image Clustering	52
SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing	52
A Hierarchical Attention Model for Social Contextual Image Recommendation	51
Database Meets Artificial Intelligence: A Survey	50
A Complex Weighted Discounting Multisource Information Fusion With Its Application in Pattern Classification	50
Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data	50
Gaussian Distribution Based Oversampling for Imbalanced Data Classification	49
Multi-view Attributed Graph Clustering	49
Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks	48
Towards Automatic Construction of Diverse, High-Quality Image Datasets	48
Multi-View Scaling Support Vector Machines for Classification and Feature Selection	47
Challenges in KNN Classification	47
Efficient Utilization of Missing Data in Cost-Sensitive Learning	47
Spatio-Temporal Meta Learning for Urban Traffic Prediction	47
Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning	47
Destination-Aware Task Assignment in Spatial Crowdsourcing: A Worker Decomposition Approach	46
On Both Cold-Start and Long-Tail Recommendation with Social Data	46
Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems	46
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress	45
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	45
The Disruptions of 5G on Data-Driven Technologies and Applications	45
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions	45
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks	45
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering	44
Dynamic Graph Neural Networks for Sequential Recommendation	43
Modelling High-Order Social Relations for Item Recommendation	43
Cross-Database Micro-Expression Recognition: A Benchmark	41
Model-Based Synthetic Sampling for Imbalanced Data	41
Optimal Margin Distribution Machine	41
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence	40
A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution	40
Label Distribution Learning with Label Correlations on Local Samples	40
Multi-Modal Knowledge Graph Construction and Application: A Survey	39
Encoding High-Cardinality String Categorical Variables	39
Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning	39
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing	39
Role-Based Graph Embeddings	38
Subgraph Networks With Application to Structural Feature Space Expansion	38
Predicting Destinations by a Deep Learning based Approach	38
Adversarial Attack and Defense on Graph Data: A Survey	37
Deep Feature-Based Text Clustering and its Explanation	37
Learning to Recommend With Multiple Cascading Behaviors	37
GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs	37
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification	37
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	36
Variable Weighting in Fuzzy k-Means Clustering to Determine the Number of Clusters	36
A Survey on Data Pricing: From Economics to Data Science	36
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention	36
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks	36
Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization	35
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework	35
On Distributed Computing Continuum Systems	35
Bloom Filter with Noisy Coding Framework for Multi-Set Membership Testing	35
A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation	35
Fast Multi-View Semi-Supervised Learning With Learned Graph	34
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics	34
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks	34
Clustering With Outlier Removal	34
MAB-Based Reinforced Worker Selection Framework for Budgeted Spatial Crowdsensing	33
A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning	33
Context-Aware Service Recommendation Based on Knowledge Graph Embedding	33
Privacy Preserving Location Data Publishing: A Machine Learning Approach	33
GM-PLL: Graph Matching Based Partial Label Learning	33
CAPER: Context-Aware Personalized Emoji Recommendation	33
Multiview Semi-Supervised Learning Model for Image Classification	33
Social Boosted Recommendation With Folded Bipartite Network Embedding	32
Applications of Differential Privacy in Social Network Analysis: A Survey	32
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation	32
Stable Community Detection in Signed Social Networks	32

Cross-Domain Sentiment Encoding through Stochastic Word Embedding	32
Sparse Graph Attention Networks	32
Dynamic Prototype Network based on Sample Adaptation for Few-Shot Malware Detection	32
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation	32
NewMCOS: Towards a Practical Multi-Cloud Oblivious Storage Scheme	32
Joint Multi-View Hashing for Large-Scale Near-Duplicate Video Retrieval	31
Domain Adaptation on Graphs by Learning Aligned Graph Bases	31
Graph Vulnerability and Robustness: A Survey	31
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding	31
Social Recommendation With Learning Personal and Social Latent Factors	30
Knowledge Graph Embedding Based on Multi-View Clustering Framework	30
Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection	30
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity	29
Incremental Factorization of Big Time Series Data with Blind Factor Approximation	29
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning	29
Security and Privacy Implications on Database Systems in Big Data Era: A Survey	29
A Reliable Storage Partition for Permissioned Blockchain	29
Deep Isolation Forest for Anomaly Detection	28
An Embedding-Based Approach to Rule Learning in Knowledge Graphs	28
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation	28
Multi-Party High-Dimensional Data Publishing Under Differential Privacy	28
Achieving Privacy-Preserving and Lightweight Truth Discovery in Mobile Crowdsensing	28
Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique	27
Translation-Based Sequential Recommendation for Complex Users on Sparse Data	26
Attribute Graph Neural Networks for Strict Cold Start Recommendation	26
Biomedical Knowledge Graph Embedding with Capsule Network for Multi-label Drug-Drug Interaction Prediction	26
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation	26
Quality Control in Crowdsourcing Using Sequential Zero-Determinant Strategies	26
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection	26
Fuzzy K-Means Clustering With Discriminative Embedding	26
Network Embedding With Completely-Imbalanced Labels	26
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection	26
A Novel Outlier Detection Method for Multivariate Data	26
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning	25
Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-modal Retrieval	25
Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN	25
Multi-Task Learning for Recommendation Over Heterogeneous Information Network	25
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	25
Quality Inference Based Task Assignment in Mobile Crowdsensing	25
Knowledge Graph Quality Management: a Comprehensive Survey	25
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space	25
DCT-GAN: Dilated Convolutional Transformer-Based GAN for Time Series Anomaly Detection	25
Automatic Classification of Algorithm Citation Functions in Scientific Literature	25
Efficient Shapelet Discovery for Time Series Classification	24
Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective	24
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction	24
Self-Supervised Learning for Recommender Systems: A Survey	24
Trust Relationship Prediction in Alibaba E-Commerce Platform	24
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy	24
Heterogeneous Graph Propagation Network	24
On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets	24
CVTM: A Content-Venue-Aware Topic Model for Group Event Recommendation	24
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services	24
Dynamic Opinion Maximization in Social Networks	24
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering	23
A Unified Framework for Cross-Domain and Cross-System Recommendations	23
T-PCCE: Twitter Personality based Communicative Communities Extraction System for Big Data	23
Intention-Aware Sequential Recommendation With Structured Intent Transition	23
Heterogeneous Latent Topic Discovery for Semantic Text Mining	23
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach	23
Incremental Weighted Ensemble Broad Learning System for Imbalanced Data	23
GERF: A Group Event Recommendation Framework Based on Learning-to-Rank	23
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph	23
CSKG4APT: A Cybersecurity Knowledge Graph for Advanced Persistent Threat Organization Attribution	23
Modality-Invariant Asymmetric Networks for Cross-Modal Hashing	23
Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph	23
Adversarial Attack on Large Scale Graph	22
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction	22
Collective Decision for Open Set Recognition	22
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis	22
Point-of-Interest Recommendation With Global and Local Context	22
A General Centrality Framework-Based on Node Navigability	22
Robust Detection of Link Communities With Summary Description in Social Networks	22
Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage	22
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering	22
Steerable Self-Driving Data Visualization	22
Tackling Overfitting in Boosting for Noisy Healthcare Data	22
Reachable Distance Function for KNN Classification	21
Joint Learning of Question Answering and Question Generation	21
An Effective and Efficient Algorithm for K-Means Clustering With New Formulation	21
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering	21
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network	21
Publicly Verifiable Databases With All Efficient Updating Operations	21
Intervening Coupling Diffusion of Competitive Information in Online Social Networks	21
Time Series Anomaly Detection With Adversarial Reconstruction Networks	21
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution	20
Optimal Neighborhood Multiple Kernel Clustering with Adaptive Local Kernels	20
Neural Text Segmentation and its Application to Sentiment Analysis	20
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks	20
Discovering Relaxed Functional Dependencies Based on Multi-Attribute Dominance	20
Low-Rank Tensor Based Proximity Learning for Multi-View Clustering	20
A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks	20
Unsupervised Discriminative Projection for Feature Selection	20
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination	19
A Novel Trust Model Based Overlapping Community Detection Algorithm for Social Networks	19