ACM International Conference on Knowledge Discovery and Data Mining

KDD

CORE rank

CORE rank (raw)

Acceptance rate

20.0% (2024 research track)

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

8,232

1994–2026

Best Machine Learning conferences Best Data Science and Information Retrieval conferences

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
2023	Counterfactual Video Recommendation for Duration Debiasing.	Shisong Tang, Qing Li, Dingmin Wang, Ci Gao, Wentao Xiao, Dan Zhao, Yong Jiang, Qian Ma, Aoyang Zhang
2023	Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies.	Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2023	Optimizing Airbnb Search Journey with Multi-task Learning.	Chun How Tan, Austin Chan, Malay Haldar, Jie Tang, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya
2023	PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks.	Da Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau
2023	Causal Effect Estimation on Hierarchical Spatial Graph Data.	Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi
2023	TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation.	Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen
2023	Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections.	Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, Hui Xiong
2023	Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts.	Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An
2023	Enhance Diffusion to Improve Robust Generalization.	Jianhui Sun, Sanchit Sinha, Aidong Zhang
2023	ShapleyFL: Robust Federated Learning Based on Shapley Value.	Qiheng Sun, Xiang Li, Jiayao Zhang, Li Xiong, Weiran Liu, Jinfei Liu, Zhan Qin, Kui Ren
2023	Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs.	Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu
2023	All in One: Multi-Task Prompting for Graph Neural Networks.	Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
2023	Learning Autoregressive Model in LSM-Tree based Store.	Yunxiang Su, Wenxuan Ma, Shaoxu Song
2023	PSLOG: Pretraining with Search Logs for Document Ranking.	Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen
2023	KDD 2023 Workshop on Data Science and AI for Sports.	Huan Song, Panpan Xu, Lin Lee Cheong, Yuanheng Wang
2023	PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce.	Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang
2023	QTNet: Theory-based Queue Length Prediction for Urban Traffic.	Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima
2023	CARL-G: Clustering-Accelerated Representation Learning on Graphs.	William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
2023	Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning.	Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui
2023	Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model.	Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng
2023	Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models.	Kartik Sharma, Rakshit S. Trivedi, Rohit Sridhar, Srijan Kumar
2023	Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space.	Huaqing Shao, Lanjun Wang, Junchi Yan
2023	Robust NLP for Finance (RobustFin).	Sameena Shah, Xiaodan Zhu, Gerard de Melo, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Zhiyu Chen
2023	19th International Workshop on Mining and Learning with Graphs (MLG).	Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu
2023	The 3rd Workshop on Artificial Intelligence-enabled Cybersecurity Analytics.	Sagar Samtani, Shanchieh Yang, Hsinchun Chen

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Comparable venues

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