Skip to content

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

KDD papers

8,232 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2019Effective and Efficient Sports Play Retrieval with Deep Representation Learning.Zheng Wang, Cheng Long, Gao Cong, Ce Ju
2019TUBE: Embedding Behavior Outcomes for Predicting Success.Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2019Adversarial Substructured Representation Learning for Mobile User Profiling.Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li
2019Fast Approximation of Empirical Entropy via Subsampling.Chi Wang, Bailu Ding
2019Social Recommendation with Optimal Limited Attention.Xin Wang, Wenwu Zhu, Chenghao Liu
2019KGAT: Knowledge Graph Attention Network for Recommendation.Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua
2019Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft.Kiri L. Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar, Cynthia A. Phillips
2019Modern MDL meets Data Mining Insights, Theory, and Practice.Jilles Vreeken, Kenji Yamanishi
2019Stability and Generalization of Graph Convolutional Neural Networks.Saurabh Verma, Zhi-Li Zhang
2019Towards Identifying Impacted Users in Cellular Services.Shobha Venkataraman, Jia Wang
2019Detecting Bursts of Activity in Telecommunications.Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, Joo Gama
2019AutoNE: Hyperparameter Optimization for Massive Network Embedding.Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu
2019Feedback Shaping: A Modeling Approach to Nurture Content Creation.Ye Tu, Chun Lo, Yiping Yuan, Shaunak Chatterjee
2019Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs.Thien Q. Tran, Jun Sakuma
2019Chainer: A Deep Learning Framework for Accelerating the Research Cycle.Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent
2019A Severity Score for Retinopathy of Prematurity.Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2019Analytics Journey Map: An Approach Enable to ML at Scale.Ganesh Thondikulam
2019Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA.Shahroz Tariq, Sangyup Lee, Youjin Shin, Myeong Shin Lee, Okchul Jung, Daewon Chung, Simon S. Woo
2019MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games.Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, Peng Cui
2019Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit.Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu
2019Retaining Privileged Information for Multi-Task Learning.Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman
2019AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation.Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song
2019A Deep Value-network Based Approach for Multi-Driver Order Dispatching.Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
2019MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data.Yina Tang, Fedor Borisyuk, Siddarth Malreddy, Yixuan Li, Yiqun Liu, Sergey Kirshner
2019Adversarial Matching of Dark Net Market Vendor Accounts.Xiao Hui Tai, Kyle Soska, Nicolas Christin
3,9013,925 of 8,232← PreviousNext →

Comparable venues

Other A*/A conferences filed under the same field of research.