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Structure-Aware Label Smoothing for Graph Neural Networks

Dec 01, 2021
Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi

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Low-Discrepancy Points via Energetic Variational Inference

Nov 21, 2021
Yindong Chen, Yiwei Wang, Lulu Kang, Chun Liu

* 25 pages, 4 figures 

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GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs

Jun 29, 2021
Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty

* Accepted at ECML-PKDD 2021 

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Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes

Dec 13, 2020
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao

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GraphCrop: Subgraph Cropping for Graph Classification

Sep 22, 2020
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi

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Particle-based Energetic Variational Inference

Apr 19, 2020
Yiwei Wang, Jiuhai Chen, Lulu Kang, Chun Liu

* 14 page, 5 figures; Typos corrected 

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How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving

Jan 28, 2019
Yi Ren, Steven Elliott, Yiwei Wang, Yezhou Yang, Wenlong Zhang

* accepted to 2019 International Conference on Robotics and Automation 

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