IEEE Transactions on Knowledge and Data Engineering

Papers
(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 61. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
A Survey on Multi-Task Learning559
Deep Learning on Graphs: A Survey528
A Survey on Deep Learning for Named Entity Recognition497
Self-supervised Learning: Generative or Contrastive416
GMC: Graph-Based Multi-View Clustering398
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective369
Reliable Accuracy Estimates from k-Fold Cross Validation355
A Survey on Knowledge Graph-Based Recommender Systems275
Ultra-Scalable Spectral Clustering and Ensemble Clustering243
Deep Learning for Spatio-Temporal Data Mining: A Survey226
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications209
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection208
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning192
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning185
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction182
A Survey of Utility-Oriented Pattern Mining178
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework177
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems173
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting149
Generalizing to Unseen Domains: A Survey on Domain Generalization145
Extended Isolation Forest144
Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement142
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences127
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis125
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing125
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning117
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey115
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories115
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation111
Feature Selection for Neural Networks Using Group Lasso Regularization110
A Survey on Deep Semi-Supervised Learning109
Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics108
SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis97
Modeling Relation Paths for Knowledge Graph Completion96
On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification96
A General Survey on Attention Mechanisms in Deep Learning93
Adversarial Training Towards Robust Multimedia Recommender System91
A Correlation Graph based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development90
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation89
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection89
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification86
A Hybrid E-Learning Recommendation Approach Based on Learners’ Influence Propagation86
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification85
Interpretable and Efficient Heterogeneous Graph Convolutional Network83
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection80
A Survey on Canonical Correlation Analysis80
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification79
Few-Shot Named Entity Recognition via Meta-Learning78
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation78
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data75
Label Enhancement for Label Distribution Learning73
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark73
Graph Self-Supervised Learning: A Survey73
Personalized Long- and Short-term Preference Learning for Next POI Recommendation71
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning70
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks70
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News69
Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding65
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation65
A Graph Neural Network Framework for Social Recommendations63
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure61
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks61
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