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 | Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. | Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner |
| 2022 | Modern Theoretical Tools for Designing Information Retrieval System. | Da Xu, Chuanwei Ruan |
| 2022 | Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data. | Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, Satish V. Ukkusuri |
| 2022 | A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. | Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang |
| 2022 | Perioperative Predictions with Interpretable Latent Representation. | Bing Xue, York Jiao, Thomas George Kannampallil, Bradley A. Fritz, Christopher Ryan King, Joanna Abraham, Michael Avidan, Chenyang Lu |
| 2022 | MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory Prediction. | Yuan Xu, Jiajie Xu, Jing Zhao, Kai Zheng, An Liu, Lei Zhao, Xiaofang Zhou |
| 2022 | COSSUM: Towards Conversation-Oriented Structured Summarization for Automatic Medical Insurance Assessment. | Sheng Xu, Xiaojun Wan, Sen Hu, Mengdi Zhou, Teng Xu, Hongbin Wang, Haitao Mi |
| 2022 | Ultrahyperbolic Knowledge Graph Embeddings. | Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab |
| 2022 | End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks. | Ziran Xiong, Wanli Shi, Bin Gu |
| 2022 | Contrastive Cross-domain Recommendation in Matching. | Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin |
| 2022 | Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. | Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu |
| 2022 | Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. | Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie |
| 2022 | Multi Armed Bandit vs. A/B Tests in E-commence - Confidence Interval and Hypothesis Test Power Perspectives. | Ding Xiang, Rebecca West, Jiaqi Wang, Xiquan Cui, Jinzhou Huang |
| 2022 | Self-Supervised Hypergraph Transformer for Recommender Systems. | Lianghao Xia, Chao Huang, Chuxu Zhang |
| 2022 | Non-stationary A/B Tests. | Yuhang Wu, Zeyu Zheng, Guangyu Zhang, Zuohua Zhang, Chu Wang |
| 2022 | CLARE: A Semi-supervised Community Detection Algorithm. | Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu |
| 2022 | Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. | Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec |
| 2022 | FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie |
| 2022 | A Framework for Multi-stage Bonus Allocation in Meal Delivery Platform. | Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun |
| 2022 | Interpretable Personalized Experimentation. | Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel R. Jiang, Eytan Bakshy |
| 2022 | Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation. | Zhebin Wu, Lin Shu, Ziyue Xu, Yaomin Chang, Chuan Chen, Zibin Zheng |
| 2022 | Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). | Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo |
| 2022 | Geometric Policy Iteration for Markov Decision Processes. | Yue Wu, Jess A. De Loera |
| 2022 | Multi-fidelity Hierarchical Neural Processes. | Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu |
| 2022 | Graph Neural Networks: Foundation, Frontiers and Applications. | Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo |
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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