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 |
|---|---|---|
| 2024 | Asynchronous Vertical Federated Learning for Kernelized AUC Maximization. | Ke Zhang, Ganyu Wang, Han Li, Yulong Wang, Hong Chen, Bin Gu |
| 2024 | Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. | Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye |
| 2024 | Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. | Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu |
| 2024 | Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. | Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao |
| 2024 | Natural Language Explainable Recommendation with Robustness Enhancement. | Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li |
| 2024 | OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. | Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang |
| 2024 | Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective. | Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang |
| 2024 | Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. | Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang |
| 2024 | Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. | Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield |
| 2024 | Conditional Logical Message Passing Transformer for Complex Query Answering. | Chongzhi Zhang, Zhiping Peng, Junhao Zheng, Qianli Ma |
| 2024 | Joint Auction in the Online Advertising Market. | Zhen Zhang, Weian Li, Yahui Lei, Bingzhe Wang, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang |
| 2024 | Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. | Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang |
| 2024 | A Self-boosted Framework for Calibrated Ranking. | Shunyu Zhang, Hu Liu, Wentian Bao, Enyun Yu, Yang Song |
| 2024 | GPFedRec: Graph-Guided Personalization for Federated Recommendation. | Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang |
| 2024 | Optimizing Smartphone App Usage Prediction: A Click-Through Rate Ranking Approach. | Yuqi Zhang, Meiying Kang, Xiucheng Li, Yu Qiu, Zhijun Li |
| 2024 | Multivariate Log-based Anomaly Detection for Distributed Database. | Lingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li, Yong Yang, Zhonghai Wu |
| 2024 | FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting. | Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew Soon Ong |
| 2024 | Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition. | Junru Zhang, Lang Feng, Zhidan Liu, Yuhan Wu, Yang He, Yabo Dong, Duanqing Xu |
| 2024 | Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model. | Zhiwen Zhang, Zipei Fan, Zewu Lv, Xuan Song, Ryosuke Shibasaki |
| 2024 | Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. | Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang |
| 2024 | TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. | Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang |
| 2024 | GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. | Zhanguang Zhang, Didier Chtelat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan |
| 2024 | Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. | Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang |
| 2024 | Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning. | Jiayuan Zhang, Xuefeng Liu, Yukang Zhang, Guogang Zhu, Jianwei Niu, Shaojie Tang |
| 2024 | Automated Mining of Structured Knowledge from Text in the Era of Large Language Models. | Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han |
1,151–1,175 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