ACM Transactions on Knowledge Discovery From Data

Papers
(The H4-Index of ACM Transactions on Knowledge Discovery From Data is 24. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Toward Quality of Information Aware Distributed Machine Learning254
Parameter-Agnostic Deep Graph Clustering192
Graph Community Infomax136
Same or Different? Diff-Vectors for Authorship Analysis79
Causal Discovery via Causal Star Graphs70
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks69
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series62
HITS-based Propagation Paradigm for Graph Neural Networks60
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder44
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation41
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs40
Detecting Anomalous Graphs in Labeled Multi-Graph Databases38
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding37
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining36
StructCoder: Structure-Aware Transformer for Code Generation34
Graph Domain Adaptation: A Generative View33
A Compact Vulnerability Knowledge Graph for Risk Assessment31
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection30
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization28
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation27
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning26
Put Your Voice on Stage: Personalized Headline Generation for News Articles26
Random Walk Sampling in Social Networks Involving Private Nodes24
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey24
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series24
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