Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3257325
Abstract: Graph neural networks (GNNs) have recently achieved remarkable success on a variety of graph-related tasks, while such success relies heavily on a given graph structure that may not always be available in real-world applications. To… read more here.
Keywords: graph structure; enhanced self; supervision; graph ... See more keywords