ACM Transactions on Knowledge Discovery From Data

Papers
(The H4-Index of ACM Transactions on Knowledge Discovery From Data is 28. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Toward Quality of Information Aware Distributed Machine Learning324
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs247
Detecting Anomalous Graphs in Labeled Multi-Graph Databases156
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation103
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series94
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks84
Same or Different? Diff-Vectors for Authorship Analysis69
Random Walk Sampling in Social Networks Involving Private Nodes64
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding53
Parameter-Agnostic Deep Graph Clustering48
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining47
Put Your Voice on Stage: Personalized Headline Generation for News Articles45
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection44
Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction44
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation42
HITS-based Propagation Paradigm for Graph Neural Networks37
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation37
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder35
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series34
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey32
StructCoder: Structure-Aware Transformer for Code Generation31
Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering30
A Compact Vulnerability Knowledge Graph for Risk Assessment30
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning29
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization29
Causal Discovery via Causal Star Graphs29
Graph Domain Adaptation: A Generative View29
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention28
Utility-Oriented Reranking with Counterfactual Context28
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