New Insights into Graph Convolutional Networks using Neural Tangent Kernels.
Mahalakshmi SabanayagamPascal Mattia EsserDebarghya GhoshdastidarPublished in: CoRR (2021)
Keyphrases
- network architecture
- average degree
- graph structure
- small world
- graph representation
- fully connected
- graph theory
- overlapping communities
- neural network
- community discovery
- graph structures
- graph mining
- directed edges
- social networks
- graph kernels
- learning rules
- network size
- deep learning
- data mining
- path length
- directed acyclic graph
- weighted graph
- directed graph
- feature space
- support vector
- learning algorithm
- random graphs
- power law
- network analysis
- protein interaction networks
- random walk
- spiking neural networks
- citation networks
- spiking neurons