ProtGNN: Towards Self-Explaining Graph Neural Networks.
Zaixi ZhangQi LiuHao WangChengqiang LuCheekong LeePublished in: AAAI (2022)
Keyphrases
- neural network
- graph representation
- random walk
- graph model
- pattern recognition
- fuzzy logic
- bipartite graph
- structured data
- artificial neural networks
- multilayer perceptron
- spanning tree
- graph matching
- neural network model
- connected components
- back propagation
- graph structure
- multi layer perceptron
- directed acyclic graph
- bayesian networks
- edge weights
- minimum spanning tree
- graph theoretic
- random graphs
- graph search
- adjacency matrix
- weighted graph
- graph theory
- neural nets
- feed forward
- fault diagnosis
- markov random field
- pairwise
- genetic algorithm