Studies from Zhejiang University in the Area of Networks Described (Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Currentstudy results on Networks have been published. According to news reporting from Hangzhou, People’sRepublic of China, by NewsRx journalists, research stated, “Graph neural networks (GNNs) have beenplaying important roles in various graph-related tasks. However, most existing GNNs are based on theassumption of homophily, so they cannot be directly generalized to heterophily settings where connectednodes may have different features and class labels.”