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 | TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. | Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofa Samaniego, Ying Xiao, Aria Haghighi |
| 2022 | Graph-based Representation Learning for Web-scale Recommender Systems. | Ahmed El-Kishky, Michael M. Bronstein, Ying Xiao, Aria Haghighi |
| 2022 | Affective Signals in a Social Media Recommender System. | Jane Dwivedi-Yu, Yi-Chia Wang, Lijing Qin, Cristian Canton-Ferrer, Alon Y. Halevy |
| 2022 | Amazon Shop the Look: A Visual Search System for Fashion and Home. | Ming Du, Arnau Ramisa, Amit Kumar K. C, Sampath Chanda, Mengjiao Wang, Neelakandan Rajesh, Shasha Li, Yingchuan Hu, Tao Zhou, Nagashri Lakshminarayana, Son Tran, Douglas Gray |
| 2022 | On Structural Explanation of Bias in Graph Neural Networks. | Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li |
| 2022 | Toward Graph Minimally-Supervised Learning. | Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu |
| 2022 | Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis. | Sihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang |
| 2022 | International Workshop on Knowledge Graphs: Open Knowledge Network. | Ying Ding, Amit P. Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein |
| 2022 | Robust Event Forecasting with Spatiotemporal Confounder Learning. | Songgaojun Deng, Huzefa Rangwala, Yue Ning |
| 2022 | The Good, the Bad, and the Outliers: A Testing Framework for Decision Optimization Model Learning. | Orit Davidovich, Gheorghe-Teodor Bercea, Segev Wasserkrug |
| 2022 | Framing Algorithmic Recourse for Anomaly Detection. | Debanjan Datta, Feng Chen, Naren Ramakrishnan |
| 2022 | Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers. | Khalil Damak, Sami Khenissi, Olfa Nasraoui |
| 2022 | Discovering Significant Patterns under Sequential False Discovery Control. | Sebastian Dalleiger, Jilles Vreeken |
| 2022 | A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. | Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun |
| 2022 | Ask to Know More: Generating Counterfactual Explanations for Fake Claims. | Shih-Chieh Dai, Yi-Li Hsu, Aiping Xiong, Lun-Wei Ku |
| 2022 | Collaboration Equilibrium in Federated Learning. | Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang |
| 2022 | 2nd Workshop on Online and Adaptive Recommender Systems (OARS). | Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem |
| 2022 | 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. | Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang |
| 2022 | Noisy Interactive Graph Search. | Qianhao Cong, Jing Tang, Kai Han, Yuming Huang, Lei Chen, Yeow Meng Chee |
| 2022 | Scalable Differentially Private Clustering via Hierarchically Separated Trees. | Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab Mirrokni, Andres Muoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii |
| 2022 | Classifying Multimodal Data Using Transformers. | Watson W. K. Chua, Lu Li, Alvina Goh |
| 2022 | TARNet: Task-Aware Reconstruction for Time-Series Transformer. | Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
| 2022 | Hyperbolic Neural Networks: Theory, Architectures and Applications. | Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy |
| 2022 | Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. | Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy |
| 2022 | HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. | Eli Chien, Puoya Tabaghi, Olgica Milenkovic |
2,751–2,775 of 8,232← PreviousNext →
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