Exploring the role of edge distribution in graph convolutional networks.
Liancheng HeLiang BaiXian YangZhuomin LiangJiye LiangPublished in: Neural Networks (2023)
Keyphrases
- edge weights
- weighted graph
- power law
- degree distribution
- small world
- directed edges
- average degree
- undirected graph
- directed graph
- edge detection
- clustering coefficient
- densely connected
- graph structures
- social networks
- betweenness centrality
- highly connected
- graph theoretic
- graph representation
- structured data
- graph structure
- graph theory
- vertex set
- complex networks
- connected components
- fully connected
- network size
- random walk
- disjoint paths
- community discovery
- dynamic networks
- protein interaction networks
- community structure
- network analysis
- probability distribution
- graph layout
- spanning tree
- input image
- probabilistic model
- citation networks
- graph matching
- graph mining
- graph partitioning
- graph model