ACM International Conference on Knowledge Discovery and Data Mining
KDD
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
20.0% (2024 research track)
Fields of research
Data Management and Data Science · Machine Learning
Papers indexed
8,232
1994–2026
Papers per year
1994844 peak2026
Most published authors
KDD papers
8,232 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2024 | Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark. | Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma |
| 2024 | The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka |
| 2024 | Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. | Bardh Prenkaj, Mario Villaizn-Vallelado, Tobias Leemann, Gjergji Kasneci |
| 2024 | CASH via Optimal Diversity for Ensemble Learning. | Pranav Poduval, Sanjay Kumar Patnala, Gaurav Oberoi, Nitish Srivasatava, Siddhartha Asthana |
| 2024 | Fredformer: Frequency Debiased Transformer for Time Series Forecasting. | Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai |
| 2024 | Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA). | Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti, Ananya Joshi, Giovanni Stilo |
| 2024 | CoMAL: Contrastive Active Learning for Multi-Label Text Classification. | Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen |
| 2024 | How Powerful is Graph Filtering for Recommendation. | Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine |
| 2024 | TSC: A Simple Two-Sided Constraint against Over-Smoothing. | Furong Peng, Kang Liu, Xuan Lu, Yuhua Qian, HongRen Yan, Chao Ma |
| 2024 | Scalable Rule Lists Learning with Sampling. | Leonardo Pellegrina, Fabio Vandin |
| 2024 | BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. | Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long, Jianmin Wang |
| 2024 | Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images. | Sukanya Patra, Nicolas Sournac, Souhaib Ben Taieb |
| 2024 | Inference Optimization of Foundation Models on AI Accelerators. | Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kbler, Jiaji Huang, Matthus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis |
| 2024 | Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection. | Yong-chan Park, Jongjin Kim, U Kang |
| 2024 | Ads Recommendation in a Collapsed and Entangled World. | Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang |
| 2024 | Ontology Enrichment for Effective Fine-grained Entity Typing. | Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han |
| 2024 | Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky |
| 2024 | Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series. | Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2024 | Money Never Sleeps: Maximizing Liquidity Mining Yields in Decentralized Finance. | Wangze Ni, Yiwei Zhao, Weijie Sun, Lei Chen, Peng Cheng, Chen Jason Zhang, Xuemin Lin |
| 2024 | CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. | Liang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang |
| 2024 | Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning. | Zhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu |
| 2024 | ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation. | Tong Nie, Guoyang Qin, Wei Ma, Yuewen Mei, Jian Sun |
| 2024 | Privacy-Preserving Federated Learning using Flower Framework. | Mohammad Naseri, Javier Fernndez-Marqus, Yan Gao, Heng Pan |
| 2024 | DARE to Diversify: DAta Driven and Diverse LLM REd Teaming. | Manish Nagireddy, Bernat Guillen Pegueroles, Ioana Baldini |
| 2024 | Valuing an Engagement Surface using a Large Scale Dynamic Causal Model. | Abhimanyu Mukerji, Sushant More, Ashwin Viswanathan Kannan, Lakshmi Ravi, Hua Chen, Naman Kohli, Chris Khawand, Dinesh Mandalapu |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering
- A*VLDBInternational Conference on Very Large Databases