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 |
|---|---|---|
| 2021 | AutoLoss: Automated Loss Function Search in Recommendations. | Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang |
| 2021 | Fairness-Aware Online Meta-learning. | Chen Zhao, Feng Chen, Bhavani Thuraisingham |
| 2021 | Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. | Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey |
| 2021 | Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. | Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong |
| 2021 | Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups. | Shengming Zhang, Hao Zhong, Zixuan Yuan, Hui Xiong |
| 2021 | Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification. | Jiawen Zhang, Jiaqi Zhu, Yi Yang, Wandong Shi, Congcong Zhang, Hongan Wang |
| 2021 | Multi-Task Learning via Generalized Tensor Trace Norm. | Yi Zhang, Yu Zhang, Wei Wang |
| 2021 | Talent Demand Forecasting with Attentive Neural Sequential Model. | Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong |
| 2021 | Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. | Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen |
| 2021 | Learning Based Proximity Matrix Factorization for Node Embedding. | Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang |
| 2021 | Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. | Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao |
| 2021 | Balancing Consistency and Disparity in Network Alignment. | Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo |
| 2021 | The 4th Artificial Intelligence of Things (AIoT) Workshop. | Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl |
| 2021 | Simple and Automatic Distributed Machine Learning on Ray. | Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica |
| 2021 | Data Efficient Learning on Graphs. | Chuxu Zhang, Jundong Li, Meng Jiang |
| 2021 | MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. | Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman |
| 2021 | ROD: Reception-aware Online Distillation for Sparse Graphs. | Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui |
| 2021 | AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba. | Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen |
| 2021 | Data Poisoning Attacks Against Outcome Interpretations of Predictive Models. | Hengtong Zhang, Jing Gao, Lu Su |
| 2021 | AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. | Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang |
| 2021 | HALO: Hierarchy-aware Fault Localization for Cloud Systems. | Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang |
| 2021 | Where are we in embedding spaces? | Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu |
| 2021 | H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. | Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang |
| 2021 | ELITE: Robust Deep Anomaly Detection with Meta Gradient. | Huayi Zhang, Lei Cao, Peter M. VanNostrand, Samuel Madden, Elke A. Rundensteiner |
| 2021 | Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. | Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao |
2,876–2,900 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