Node-Feature Convolution for Graph Convolutional Networks.
Li ZhangHeda SongNikolaos AletrasHaiping LuPublished in: Pattern Recognit. (2022)
Keyphrases
- overlapping communities
- betweenness centrality
- graph structure
- edge weights
- directed graph
- degree distribution
- complex networks
- path length
- heterogeneous social networks
- densely connected
- small world
- social networks
- finding the shortest path
- neighboring nodes
- small world networks
- graph model
- clustering coefficient
- community discovery
- graph structures
- community structure
- weighted graph
- image processing
- directed edges
- image features
- random walk
- network structure
- undirected graph
- graph theory
- average degree
- directed acyclic graph
- shortest path
- root node
- feature vectors
- graph representation
- fully connected
- protein interaction networks
- vector representation
- graph layout
- citation networks
- bipartite graph
- real world networks
- nodes of a graph
- social network analysis
- community detection
- network analysis
- computer networks
- connected components
- strongly connected
- spanning tree
- network size
- scale free
- random graphs
- structured data