ACM Transactions on Knowledge Discovery From Data

Papers
(The H4-Index of ACM Transactions on Knowledge Discovery From Data is 25. 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 2021-03-01 to 2025-03-01.)
ArticleCitations
Evaluation-Free Time-Series Forecasting Model Selection via Meta-Learning230
Gradual Drift Detection in Process Models Using Conformance Metrics122
Subclass-wise Logit Perturbation for Multi-label Learning117
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding90
Unsupervised Graph-Based Entity Resolution for Complex Entities72
Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation56
CM-CaFE: A Clustering Method with Causality-based Feature Embedding55
Multi-relation Graph Summarization53
Self-supervision for Tabular Data by Learning to Predict Additive Homoskedastic Gaussian Noise as Pretext51
An Information Theory Based Method for Quantifying the Predictability of Human Mobility44
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization42
Discovering Interesting Patterns from Hypergraphs41
Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media41
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation40
Parameter-Agnostic Deep Graph Clustering36
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA34
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series34
A Survey on Bid Optimization in Real-Time Bidding Display Advertising30
Put Your Voice on Stage: Personalized Headline Generation for News Articles29
Graph Domain Adaptation: A Generative View28
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning28
Graph Time-series Modeling in Deep Learning: A Survey28
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification27
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors26
HITS-based Propagation Paradigm for Graph Neural Networks26
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment25
StructCoder: Structure-Aware Transformer for Code Generation25
A Survey on AutoML Methods and Systems for Clustering25
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