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 | Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. | Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao |
| 2021 | Toward Explainable Deep Anomaly Detection. | Guansong Pang, Charu C. Aggarwal |
| 2021 | Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. | Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang |
| 2021 | AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. | Yilmazcan zyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel |
| 2021 | Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. | Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima |
| 2021 | Filtration Curves for Graph Representation. | Leslie O'Bray, Bastian Rieck, Karsten M. Borgwardt |
| 2021 | PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. | Amin Heyrani Nobari, Wei Chen, Faez Ahmed |
| 2021 | An Efficient Framework for Balancing Submodularity and Cost. | Sofia Maria Nikolakaki, Alina Ene, Evimaria Terzi |
| 2021 | A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. | Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He |
| 2021 | SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce. | Andrea Nestler, Nour Karessli, Karl Hajjar, Rodrigo Weffer, Reza Shirvany |
| 2021 | Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic. | Preslav Nakov, Giovanni Da San Martino |
| 2021 | The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. | Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao |
| 2021 | Scalable Hierarchical Agglomerative Clustering. | Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gkhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu |
| 2021 | A Recursive Markov Boundary-Based Approach to Causal Structure Learning. | Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash |
| 2021 | Diversity driven Query Rewriting in Search Advertising. | Akash Kumar Mohankumar, Nikit Begwani, Amit Singh |
| 2021 | Semi-Supervised Deep Learning for Multiplex Networks. | Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2021 | Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing. | Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta |
| 2021 | VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search. | Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko |
| 2021 | DeGNN: Improving Graph Neural Networks with Graph Decomposition. | Xupeng Miao, Nezihe Merve Grel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang |
| 2021 | MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches. | Mike A. Merrill, Ge Zhang, Tim Althoff |
| 2021 | What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data. | Charbel Merhej, Ryan J. Beal, Tim Matthews, Sarvapali D. Ramchurn |
| 2021 | Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. | Chuizheng Meng, Sirisha Rambhatla, Yan Liu |
| 2021 | Interactive Causal Structure Discovery in Earth System Sciences. | Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mkel, Tuomo Nieminen, Ivan Mammarella, Kai Puolamki |
| 2021 | Temporal Graph Signal Decomposition. | Maxwell J. McNeil, Lin Zhang, Petko Bogdanov |
| 2021 | Advances in Mining Heterogeneous Healthcare Data. | Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun |
3,051–3,075 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