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
2020	Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web.	Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar
2020	AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.	Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han
2020	Delivery Scope: A New Way of Restaurant Retrieval for On-demand Food Delivery Service.	Xuetao Ding, Runfeng Zhang, Zhen Mao, Ke Xing, Fangxiao Du, Xingyu Liu, Guoxing Wei, Feifan Yin, Renqing He, Zhizhao Sun
2020	Evaluating Fairness Using Permutation Tests.	Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal
2020	Data Paucity and Low Resource Scenarios: Challenges and Opportunities.	Mona T. Diab
2020	Knowledge Intensive Learning of Generative Adversarial Networks.	Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan
2020	Dynamic Knowledge Graph based Multi-Event Forecasting.	Songgaojun Deng, Huzefa Rangwala, Yue Ning
2020	A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario.	Monidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo
2020	Cost Aware Feature Elicitation.	Srijita Das, Rishabh K. Iyer, Sriraam Natarajan
2020	InMacs: Interactive modeling and comparison of sentiments from sequence data.	Subhajit Das, Florina Dutt
2020	Pest Management In Cotton Farms: An AI-System Case Study from the Global South.	Aman Dalmia, Jerome White, Ankit Chaurasia, Vishal Agarwal, Rajesh Jain, Dhruvin Vora, Balasaheb Dhame, Raghu Dharmaraju, Rahul Panicker
2020	Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.	Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong
2020	Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data.	Rui Dai, Shenkun Xu, Qian Gu, Chenguang Ji, Kaikui Liu
2020	Recurrent Networks for Guided Multi-Attention Classification.	Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore
2020	Combinatorial Black-Box Optimization with Expert Advice.	Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan
2020	How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model.	Natalia Culakova, Dan Murphy, Joao Gante, Carlos Ledezma, Vahan Hovhannisyan, Alan Mosca
2020	Adaptive Graph Encoder for Attributed Graph Embedding.	Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu
2020	DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation.	Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
2020	Causal Inference Meets Machine Learning.	Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
2020	Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks.	Weilin Cong, Rana Forsati, Mahmut T. Kandemir, Mehrdad Mahdavi
2020	Artificial Intelligence for Healthcare.	Dorin Comaniciu
2020	Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data.	Jaesik Choi
2020	HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness.	Jiayi Chen, Aidong Zhang
2020	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.	Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020	Handling Information Loss of Graph Neural Networks for Session-based Recommendation.	Tianwen Chen, Raymond Chi-Wing Wong

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Comparable venues

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