Deep Hypergraph Structure Learning. (arXiv:2208.12547v1 [cs.LG])

Learning on high-order correlation has shown superiority in data
representation learning, where hypergraph has been widely used in recent
decades. The performance of hypergraph-based representation learning methods,
such as hypergraph neural networks, highly depends on the quality of the
hypergraph structure. How to generate the hypergraph structure among data is
still a challenging task. Missing and noisy data may lead to "bad connections"
in the hypergraph structure and destroy the hypergraph-based representation
learning process. Therefore, revealing the high-order structure, i.e., …

arxiv hypergraph learning lg