ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting.
Jingwei GuoKaizhu HuangXinping YiRui ZhangPublished in: CoRR (2022)
Keyphrases
- neural network
- weighted graph
- undirected graph
- edge weights
- graph structure
- pattern recognition
- directed graph
- graph theory
- artificial neural networks
- strongly connected
- vertex set
- fault diagnosis
- back propagation
- edge detection
- connected components
- structured data
- dependency graph
- disjoint paths
- graph model
- minimum spanning tree
- graph theoretic
- adjacency graph
- graph representation
- genetic algorithm
- edge information
- recurrent neural networks
- neural network model
- social network analysis
- random walk
- social networks
- spanning tree
- bipartite graph
- neural nets
- graph matching