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ACM Transactions on Knowledge Discovery from Data 2025: all accepted papers

151 papers · page 1 of 2 · the most cited first · ← ACM Transactions on Knowledge Discovery from Data 2025

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  1. Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning ↗Teo Sušnjak, Peter Hwang, Napoleon H. Reyes et al.73 citations
  2. Diffusion Models for Tabular Data Imputation and Synthetic Data Generation ↗Mario Villaizán-Vallelado, Matteo Salvatori, Carlos Segura et al.19 citations
  3. Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering ↗Kamal Berahmand, Mehrnoush Mohammadi, Razieh Sheikhpour et al.18 citations
  4. MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data ↗Jianping Zhou, Bin Lu, Zhanyu Liu et al.12 citations
  5. Adaptive Graph Partitioning for Clustering Datasets with Heterogeneous Density ↗Jing Geng, Shangxian Zhao, wang weizhe et al.10 citations
  6. DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions ↗Tianchun Wang, Dongsheng Luo, Wei Dong Cheng et al.10 citations
  7. Evaluation-free Time-series Forecasting Model Selection via Meta-learning ↗Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik et al.9 citations
  8. Fuzzy Weighted Principal Component Analysis for Anomaly Detection ↗Sisi Wang, Feiping Nie, Zheng Wang et al.7 citations
  9. Privacy-Preserving Machine Learning Based on Cryptography: A Survey ↗Congcong Chen, Lifei Wei, Jintao Xie et al.7 citations
  10. Attention-Mechanism-Based Neural Latent-Factorization-of-Tensors Model ↗Xiuqin Xu, Ming‐Wei Lin, Zeshui Xu et al.6 citations
  11. On the Use of Relative Validity Indices for Comparing Clustering Approaches ↗Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston et al.6 citations
  12. Online Learning for Noisy Labeled Streams ↗Jinjie Qiu, Shengda Zhuo, Philip S. Yu et al.6 citations
  13. Online Stable Streaming Feature Selection via Feature Aggregation ↗Peng Zhou, Qi Wang, Yunyun Zhang et al.6 citations
  14. Principled Mining, Forecasting, and Monitoring of Honeybee Time Series with EBV+ ↗Mst. Shamima Hossain, Christos Faloutsos, Boris Baer et al.6 citations
  15. Interactive Fusion Label Enhancement for Multi-Label Learning ↗Xingyu Zhao, Yuexuan An, Ning Xu et al.5 citations
  16. Multi-level Contrastive Learning for Knowledge Tracing ↗Xiaoxuan Shen, Fenghua Yu, Qian Wan et al.5 citations
  17. VGA: Vision and Graph Fused Attention Network for Rumor Detection ↗Lin Bai, Caiyan Jia, Ziying Song et al.5 citations
  18. Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning ↗Jiadong Feng, Wei Li, Suhuang Wu et al.4 citations
  19. Exploring Influence Maximization: State-of-the-Art Methods, Taxonomies, and Trends ↗Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh4 citations
  20. Stochastic Block Models for Complex Network Analysis: A Survey ↗Xueyan Liu, Wenzhuo Song, Katarzyna Musiał et al.4 citations
  21. Disentangled Multi-Graph Convolution for Cross-Domain Recommendation ↗Yibo Gao, Zhen Liu, Xinxin Yang et al.3 citations
  22. Dual-View Learning from Crowds ↗Huan Zhang, Liangxiao Jiang, Wenjun Zhang et al.3 citations
  23. Integrating Group Consensus for Competitive Influence Maximization in OSNs ↗Guo-Bang Chen, Wenjun Jiang, Kenli Li et al.3 citations
  24. Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting ↗Hanwen Hu, Zhangchi Han, Shiyou Qian et al.3 citations
  25. COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks ↗Pongsakorn Jirachanchaisiri, Saranya Maneeroj, Atsuhiro Takasu2 citations
  26. Clustering Categorical Data via Multiple Hypothesis Testing ↗Lianyu Hu, Mudi Jiang, Yan Liu et al.2 citations
  27. Detecting Both Seen and Unseen Anomalies in Time Series ↗Chen Liu, Shibo He, Shizhong Li et al.2 citations
  28. DisambiguART: A Neural-based Inference Model for Knowledge Graph Disambiguation ↗Budhitama Subagdja, D. Shanthoshigaa, Ah‐Hwee Tan2 citations
  29. Hierarchical Spatial Decompositions under Local Differential Privacy ↗Ece Alptekin, Berkay Kemal Balioglu, Mehmet Emre Gürsoy2 citations
  30. Latent Representation Learning for Attributed Graph Anomaly Detection ↗Shichao Zhang, Penghui Xi, Jiang Mengqi et al.2 citations
  31. Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey ↗Hongjia Xu, Liangliang Zhang, Yao Ma et al.2 citations
  32. Rethinking Natural Language Generation with Layer-Wise Multi-View Decoding ↗Fenglin Liu, Xuancheng Ren, Guangxiang Zhao et al.2 citations
  33. Topology-aware Reinforcement Feature Space Reconstruction for Graph Data ↗Wangyang Ying, Haoyue Bai, Kunpeng Liu et al.2 citations
  34. FDphormer: Beyond Homophily with Feature-Difference Position Encoding ↗Dong Li, Aijia Zhang, Huan Xiong et al.1 citation
  35. MultiGraphMatch: A Subgraph Matching Algorithm for Multigraphs ↗Giovanni Micale, Antonio Di Maria, Roberto Grasso et al.1 citation
  36. New Automated Approach to Selection of Mapper Clustering Parameters ↗Padraig Fitzpatrick, Anna Jurek, Paweł Dłotko1 citation
  37. OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs ↗Xiangfei Fang, Chengying Huan, Heng Zhang et al.1 citation
  38. SPOT: Spectral Optimal Transport for Graph Domain Generalization ↗Yusheng Zhao, Xiao Luo, Junyu Luo et al.1 citation
  39. Balancing Fairness and Accuracy in Data-Restricted Binary Classification ↗Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou et al.

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