GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

12 May 2020Hanchen WangDefu LianYing ZhangLu QinXuemin Lin

Entity interaction prediction is essential in many important applications such as chemistry, biology, material science, and medical science. The problem becomes quite challenging when each entity is represented by a complex structure, namely structured entity, because two types of graphs are involved: local graphs for structured entities and a global graph to capture the interactions between structured entities... (read more)

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