Rethinking Graph Regularization For Graph Neural Networks.
Han YangKaili MaJames ChengPublished in: CoRR (2020)
Keyphrases
- neural network
- graph representation
- graph model
- directed graph
- graph theory
- bipartite graph
- image processing
- random walk
- graph structure
- graph mining
- directed acyclic graph
- solution path
- graph laplacian
- graph databases
- connected components
- structured data
- graph matching
- prior information
- spanning tree
- undirected graph
- graph data
- graph clustering
- graph structures
- adjacency matrix
- genetic algorithm