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 | Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization. | Haoye Chai, Tao Jiang, Li Yu |
| 2024 | Equity, Diversity & Inclusion (EDI): Special Day at ACM KDD 2024. | Tania Cerquitelli, Amin Mantrach |
| 2024 | Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization. | Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi |
| 2024 | DiffusionE: Reasoning on Knowledge Graphs via Diffusion-based Graph Neural Networks. | Zongsheng Cao, Jing Li, Zigan Wang, Jinliang Li |
| 2024 | CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification. | Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha |
| 2024 | Where Have You Been? A Study of Privacy Risk for Point-of-Interest Recommendation. | Kunlin Cai, Jinghuai Zhang, Zhiqing Hong, William Shand, Guang Wang, Desheng Zhang, Jianfeng Chi, Yuan Tian |
| 2024 | FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering. | Tianchi Cai, Zhiwen Tan, Xierui Song, Tao Sun, Jiyan Jiang, Yunqi Xu, Yinger Zhang, Jinjie Gu |
| 2024 | Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias. | Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang |
| 2024 | Making Temporal Betweenness Computation Faster and Restless. | Filippo Brunelli, Pierluigi Crescenzi, Laurent Viennot |
| 2024 | LiRank: Industrial Large Scale Ranking Models at LinkedIn. | Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh |
| 2024 | LiGNN: Graph Neural Networks at LinkedIn. | Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng Du, Xiaochen Hou, Chengming Jiang, Nitin Pasumarthy, Priya Bannur, Birjodh Singh Tiwana, Ping Liu, Siddharth Dangi, Daqi Sun, Zhoutao Pei, Xiao Shi, Sirou Zhu, Qianqi Shen, Kuang-Hsuan Lee, David Stein, Baolei Li, Haichao Wei, Amol Ghoting, Souvik Ghosh |
| 2024 | Lessons Learned while Running ML Models in Harsh Environments. | Pedro Bizarro |
| 2024 | FaultInsight: Interpreting Hyperscale Data Center Host Faults. | Tingzhu Bi, Yang Zhang, Yicheng Pan, Yu Zhang, Meng Ma, Xinrui Jiang, Linlin Han, Feng Wang, Xian Liu, Ping Wang |
| 2024 | Learning the Covariance of Treatment Effects Across Many Weak Experiments. | Aurlien Bibaut, Winston Chou, Simon Ejdemyr, Nathan Kallus |
| 2024 | Evading Community Detection via Counterfactual Neighborhood Search. | Andrea Bernini, Fabrizio Silvestri, Gabriele Tolomei |
| 2024 | AI for Nature: From Science to Impact. | Tanya Y. Berger-Wolf |
| 2024 | Graph Mamba: Towards Learning on Graphs with State Space Models. | Ali Behrouz, Farnoosh Hashemi |
| 2024 | Large Scale Generative AI Text Applied to Sports and Music. | Aaron K. Baughman, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogrio Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky |
| 2024 | Improved Active Covering via Density-Based Space Transformation. | MohammadHossein Bateni, Hossein Esfandiari, Samira Hossein Ghorban, Alipasha Montaseri |
| 2024 | Meta Clustering of Neural Bandits. | Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He |
| 2024 | Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence. | Yinhao Bai, Yuhua Zhao, Zhixin Han, Hang Gao, Chao Xue, Mengting Hu |
| 2024 | Understanding Inter-Session Intentions via Complex Logical Reasoning. | Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Yangqiu Song |
| 2024 | GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting. | Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song |
| 2024 | A Hands-on Introduction to Time Series Classification and Regression. | Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb |
| 2024 | AdKDD 2024. | Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan |
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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