RESEARCH AND PUBLICATIONS

  1. Ken Gu, Akshay Budhkar. A Package for Learning on Tabular and Text Data with Transformers. Proceedings of the Third Workshop on Multimodal Artificial Intelligence at NAACL 2021. [Paper] [Code]

  2. Yunsheng Bai*, Ken Gu*, Yizhou Sun, and Wei Wang. Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. Graph Representation Learning and Beyond (GRL+) Workshop at ICML 2020. [Paper] [Code] [Workshop]

  3. Yunsheng Bai*, Derek Xu*, Alex Wang, Ken Gu, Xueqing Wu, Agustin Marinovic, Christopher Ro, Yizhou Sun, and Wei Wang. Fast Detection of Maximum Common Subgraph via Deep Q-Learning. [Paper]  

  4. Yunsheng Bai*, Hao Ding*, Ken Gu, Yizhou Sun, and Wei Wang. Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Mathing. AAAI 2020. [Paper] 

  5. Lyle Kingsbury , Shan Huang, Jun Wang, Ken Gu, Peyman Golshani, Ye Emily Wu,and Weizhe Hong. Correlated Neural Activity and Encoding of Behavior across Brains of Socially Interacting Animals. Cell 2019. [Paper] [Code] 

  6. Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, and Wei Wang. 2019. Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI 2019. [Paper]

* indicates equal contribution

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