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 |
|---|---|---|
| 2022 | Finding Meta Winning Ticket to Train Your MAML. | Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding |
| 2022 | RES: A Robust Framework for Guiding Visual Explanation. | Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao |
| 2022 | ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. | Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen |
| 2022 | Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. | Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone |
| 2022 | Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. | Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi |
| 2022 | Optimal Interpretable Clustering Using Oblique Decision Trees. | Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2022 | Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model. | Tianfan Fu, Jimeng Sun |
| 2022 | SIPF: Sampling Method for Inverse Protein Folding. | Tianfan Fu, Jimeng Sun |
| 2022 | The Battlefront of Combating Misinformation and Coping with Media Bias. | Yi R. Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji |
| 2022 | Meta-Learned Metrics over Multi-Evolution Temporal Graphs. | Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He |
| 2022 | DP-GAT: A Framework for Image-based Disease Progression Prediction. | Alex Foo, Wynne Hsu, Mong-Li Lee, Gavin Siew Wei Tan |
| 2022 | Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. | Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudr, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gkhan Tr, Prem Natarajan |
| 2022 | Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning. | Tao Feng, Tong Xia, Xiaochen Fan, Huandong Wang, Zefang Zong, Yong Li |
| 2022 | FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks. | Kaituo Feng, Changsheng Li, Ye Yuan, Guoren Wang |
| 2022 | Large-Scale Acoustic Automobile Fault Detection: Diagnosing Engines Through Sound. | Dennis Fedorishin, Justas Birgiolas, Deen Dayal Mohan, Livio Forte, Philip Schneider, Srirangaraj Setlur, Venu Govindaraju |
| 2022 | 3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science Talent. | Usama M. Fayyad, Hamit Hamutcu |
| 2022 | SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data. | Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore |
| 2022 | On Aligning Tuples for Regression. | Chenguang Fang, Shaoxu Song, Yinan Mei, Ye Yuan, Jianmin Wang |
| 2022 | Spatio-Temporal Trajectory Similarity Learning in Road Networks. | Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, Christian S. Jensen |
| 2022 | Automatic Generation of Product-Image Sequence in E-commerce. | Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | 17th International Workshop on Mining and Learning with Graphs (MLG). | Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi |
| 2022 | Fair Labeled Clustering. | Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach |
| 2022 | Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. | Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu |
| 2022 | Multimodal AutoML for Image, Text and Tabular Data. | Nick Erickson, Xingjian Shi, James Sharpnack, Alexander J. Smola |
| 2022 | Efficient Machine Learning on Large-Scale Graphs. | Parker Erickson, Victor E. Lee, Feng Shi, Jiliang Tang |
2,726–2,750 of 8,232← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
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- 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