A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide

arXiv:2404.01039v1 Announce Type: new
Abstract: Higher-order interactions (HOIs) are ubiquitous in real-world complex systems and applications, and thus investigation of deep learning for HOIs has become a valuable agenda for the data mining and machine learning communities. As networks of HOIs are expressed mathematically as hypergraphs, hypergraph neural networks (HNNs) have emerged as a powerful tool for representation learning on hypergraphs. Given the emerging trend, we present the first survey dedicated to HNNs, with an in-depth and step-by-step guide. Broadly, …

abstract applications arxiv become communities complex systems cs.lg data data mining deep learning guide hypergraph interactions investigation machine machine learning mining networks neural networks step-by-step survey systems type world