Sparse Graph Learning with Eigen-gap for Spectral Filter Training in Graph Convolutional Networks.
Jin ZengSaghar BagheriYang LiuGene CheungWei HuPublished in: CoRR (2022)
Keyphrases
- graph theory
- fully connected
- learning process
- active learning
- supervised learning
- online learning
- connectionist networks
- structured data
- random walk
- training process
- graph model
- graph representation
- reinforcement learning
- complex networks
- graph mining
- directed acyclic graph
- feedforward neural networks
- network analysis
- computer based training
- gaussian graphical models
- small world
- random graphs
- graph structure
- graph layout
- weighted graph
- neural network
- bipartite graph
- network structure
- back propagation
- high dimensional
- bayesian networks