Towards Sparsification of Graph Neural Networks.
Hongwu PengDeniz GurevinShaoyi HuangTong GengWeiwen JiangOmer KhanCaiwen DingPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- bipartite graph
- graph model
- weighted graph
- directed graph
- neural network model
- graph theory
- structured data
- fuzzy logic
- random walk
- hopfield neural network
- radial basis function
- graph data
- multilayer perceptron
- graph structure
- graph partitioning
- directed acyclic graph
- genetic algorithm
- stable set
- graphical models
- adjacency matrix
- graph theoretic
- graph representation
- undirected graph
- graph mining
- learning algorithm
- reinforcement learning
- pairwise
- data sets
- connected components
- self organizing maps
- least squares