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 | Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks. | Shengyu Chen, Jacob A. Zwart, Xiaowei Jia |
| 2022 | FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. | Jiayi Chen, Aidong Zhang |
| 2022 | Efficient Approximate Algorithms for Empirical Variance with Hashed Block Sampling. | Xingguang Chen, Fangyuan Zhang, Sibo Wang |
| 2022 | Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival. | Zebin Chen, Xiaolin Xiao, Yue-Jiao Gong, Jun Fang, Nan Ma, Hua Chai, Zhiguang Cao |
| 2022 | Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. | Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan |
| 2022 | Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting. | Weiqi Chen, Wenwei Wang, Bingqing Peng, Qingsong Wen, Tian Zhou, Liang Sun |
| 2022 | Efficient Orthogonal Multi-view Subspace Clustering. | Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu |
| 2022 | AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks. | Tianyi Chen, Charalampos E. Tsourakakis |
| 2022 | ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale. | Gopinath Chennupati, Milind Rao, Gurpreet Chadha, Aaron Eakin, Anirudh Raju, Gautam Tiwari, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo, Andy Oberlin, Buddha Nandanoor, Prahalad Venkataramanan, Zheng Wu, Pankaj Sitpure |
| 2022 | Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. | Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun |
| 2022 | Multi-modal Siamese Network for Entity Alignment. | Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen |
| 2022 | Effective Social Network-Based Allocation of COVID-19 Vaccines. | Jiangzhuo Chen, Stefan Hoops, Achla Marathe, Henning S. Mortveit, Bryan L. Lewis, Srinivasan Venkatramanan, Arash Haddadan, Parantapa Bhattacharya, Abhijin Adiga, Anil Vullikanti, Aravind Srinivasan, Mandy L. Wilson, Gal Ehrlich, Maier Fenster, Stephen G. Eubank, Christopher L. Barrett, Madhav V. Marathe |
| 2022 | The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022). | Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu |
| 2022 | Sufficient Vision Transformer. | Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu |
| 2022 | RLogic: Recursive Logical Rule Learning from Knowledge Graphs. | Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun |
| 2022 | Knowledge-enhanced Black-box Attacks for Recommendations. | Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang |
| 2022 | EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. | Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing |
| 2022 | BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. | Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang |
| 2022 | Multi-Variate Time Series Forecasting on Variable Subsets. | Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran |
| 2022 | Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction. | Mohna Chakraborty, Adithya Kulkarni, Qi Li |
| 2022 | Avoiding Biases due to Similarity Assumptions in Node Embeddings. | Deepayan Chakrabarti |
| 2022 | Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. | Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang |
| 2022 | Shallow and Deep Non-IID Learning on Complex Data. | Longbing Cao, Philip S. Yu, Zhilin Zhao |
| 2022 | Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. | Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng |
| 2022 | Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). | Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng |
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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