Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification.
Xiaoxiao LiJoão SaúdePublished in: CoRR (2020)
Keyphrases
- weighted graph
- edge weights
- graph structure
- neural network
- classification accuracy
- feature set
- feature extraction
- feature vectors
- pattern recognition
- graph partitioning
- adjacency matrix
- graph model
- feature space
- graph clustering
- graph laplacian
- directed graph
- class labels
- minimum cut
- minimum spanning tree
- minimum weight
- spanning tree
- vertex set
- feature selection
- tree structure
- maximum weight
- supervised learning
- densely connected
- bipartite graph
- shortest path
- graphical models