Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel.
Thomas GebhartPublished in: CoRR (2022)
Keyphrases
- network architecture
- neural network
- average degree
- graph kernels
- small world
- graph representation
- random walk
- edge weights
- connected components
- weighted graph
- graph layout
- kernel function
- network structure
- directed graph
- network analysis
- graph structures
- fully connected
- graph model
- social graphs
- kernel methods
- complex networks
- structured data
- social networks
- citation networks
- spiking neural networks
- community discovery
- network size
- directed edges
- positive definite
- kernel machines
- neural model
- spanning tree
- graph structure
- graph theory
- probabilistic model
- feature space