Graph Convolutional Networks for Graphs Containing Missing Features.
Hibiki TaguchiXin LiuTsuyoshi MurataPublished in: CoRR (2020)
Keyphrases
- graph theory
- graph representation
- feature vectors
- highly connected
- community discovery
- average degree
- graph structure
- graph structures
- graph theoretic
- social networks
- small world
- directed graph
- graph matching
- graph search
- graph properties
- graph clustering
- dynamic networks
- minimum spanning tree
- directed edges
- edge weights
- weighted graph
- complex networks
- graph mining
- protein interaction networks
- bipartite graph
- structural patterns
- series parallel
- social graphs
- subgraph isomorphism
- social network analysis
- graph layout
- random graphs
- graph databases
- random walk
- maximum common subgraph
- graph theoretical
- real world social networks
- graph isomorphism
- labeled graphs
- degree distribution
- biological networks
- network analysis
- graph model
- graph construction
- graph kernels
- spanning tree
- undirected graph