Graph Neural Networks: A Review of Methods and Applications

20 Dec 2018Jie ZhouGanqu CuiZhengyan ZhangCheng YangZhiyuan LiuLifeng WangChangcheng LiMaosong Sun

Lots of learning tasks require dealing with graph data which contains rich relation information among elements. Modeling physics system, learning molecular fingerprints, predicting protein interface, and classifying diseases require a model to learn from graph inputs... (read more)

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