Architectural Implications of Graph Neural Networks.
Zhihui ZhangJingwen LengLingxiao MaYoushan MiaoChao LiMinyi GuoPublished in: CoRR (2020)
Keyphrases
- neural network
- pattern recognition
- genetic algorithm
- graph theory
- random walk
- weighted graph
- back propagation
- multi layer
- graph structure
- graph partitioning
- graph representation
- graph matching
- directed graph
- artificial neural networks
- graph theoretic
- feed forward
- structured data
- fuzzy logic
- bipartite graph
- data sets
- graph clustering
- graph search
- network architecture
- graph structures
- stable set
- graph model
- neural nets
- recurrent neural networks
- multilayer perceptron
- neural network model
- connected components
- fault diagnosis
- high level
- data mining