Towards an Efficient and General Framework of Robust Training for Graph Neural Networks

25 Feb 2020Kaidi XuSijia LiuPin-Yu ChenMengshu SunCaiwen DingBhavya KailkhuraXue Lin

Graph Neural Networks (GNNs) have made significant advances on several fundamental inference tasks. As a result, there is a surge of interest in using these models for making potentially important decisions in high-regret applications... (read more)

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