Graph convolutional networks for graphs containing missing features.
Hibiki TaguchiXin LiuTsuyoshi MurataPublished in: Future Gener. Comput. Syst. (2021)
Keyphrases
- graph databases
- graph structures
- graph construction
- graph clustering
- graph representation
- graph mining
- graph theory
- feature extraction
- graph structure
- edge weights
- average degree
- graph theoretic
- graph theoretical
- graph representations
- directed graph
- weighted graph
- social graphs
- network analysis
- degree distribution
- highly connected
- fully connected
- graph search
- graph matching
- real world networks
- real world graphs
- structural patterns
- community discovery
- graph layout
- minimum spanning tree
- graph partitioning
- graph model
- feature space
- protein interaction networks
- graph kernels
- deep learning
- subgraph isomorphism
- social networks
- series parallel
- random graphs
- graph properties
- bipartite graph
- network structure
- feature vectors
- directed edges