Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel.
Thomas GebhartPublished in: TAG-ML (2022)
Keyphrases
- network architecture
- graph kernels
- neural network
- dynamic networks
- average degree
- random walk
- small world
- community discovery
- kernel methods
- graph theory
- edge weights
- network size
- graph representation
- recurrent networks
- overlapping communities
- complex networks
- network structure
- neural model
- random graphs
- social networks
- graph model
- bipartite graph
- kernel function
- support vector
- fully connected
- spiking neural networks
- betweenness centrality
- spanning tree
- graph structures
- graph databases
- weighted graph
- graph laplacian
- undirected graph
- biologically plausible
- graph mining
- network analysis
- graph matching
- directed graph
- structured data
- artificial neural networks
- graph layout