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