Towards Multi-Grained Explainability for Graph Neural Networks.
Xiang WangYing-Xin WuAn ZhangXiangnan HeTat-Seng ChuaPublished in: NeurIPS (2021)
Keyphrases
- neural network
- fine grained
- graph representation
- structured data
- graph matching
- graph theory
- pattern recognition
- artificial neural networks
- graph theoretic
- fault diagnosis
- graph structure
- neural nets
- graph partitioning
- graph databases
- graph model
- connected components
- random walk
- graph clustering
- graph search
- graph based algorithm
- stable set
- undirected graph
- directed acyclic graph
- directed graph
- back propagation
- knn
- training data