MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.
Haitian JiangRenjie LiuXiao YanZhenkun CaiMinjie WangDavid WipfPublished in: CoRR (2023)
Keyphrases
- neural network
- multi layer
- single layer
- artificial neural networks
- random walk
- graph representation
- scale space
- graph model
- genetic algorithm
- graph based algorithm
- weighted graph
- graph theory
- recurrent neural networks
- back propagation
- multilayer perceptron
- fuzzy logic
- neural nets
- bipartite graph
- neural network model
- graph structure
- directed graph
- directed acyclic graph
- network architecture
- connected components
- support vector machine
- graph partitioning
- spanning tree
- fuzzy neural network
- self organizing maps
- small scale
- associative memory
- graph matching