Several papers accepted for presentation at SIGKDD 2021

The following papers have been accepted for presentation at the 27th SIGKDD Conference on Knowledge Discovery and Data Mining (external pageSIGKDD 2021call_made):

Xupeng Miao*, Nezihe Merve Gürel*, 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. DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD 2021.

*equal contribution

Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huai Jun Jiang, Ming Chao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui. OpenBox: A Generalized Black-box Optimization Service. KDD (Applied Data Science) 2021.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou. FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD (Applied Data Science) 2021.

Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso. FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. KDD (Applied Data Science) 2021.

Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel. AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. KDD 2021.