Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification

no code implementations • 4 Dec 2022 • Junchao Lin, Yuan Wan, Jingwen Xu, Xingchen Qi

However, recent studies have shown that GNNs are vulnerable to the complex underlying structure of the graph, making it necessary to learn comprehensive and robust graph structures for downstream tasks, rather than relying only on the raw graph structure.

Classification Node Classification