GCN-LRP explanation: exploring latent attention of graph convolutional networks.
Jinlong HuTenghui LiShoubin DongPublished in: IJCNN (2020)
Keyphrases
- graph theory
- graph representation
- average degree
- random walk
- social networks
- visual attention
- small world
- dynamic networks
- directed edges
- highly connected
- fully connected
- edge weights
- graph mining
- directed graph
- network analysis
- bipartite graph
- link formation
- graph model
- undirected graph
- benchmark problems
- graph structures
- graph matching
- sparse coding
- betweenness centrality
- connected components
- graph layout
- complex networks