Graph Neural Tangent Kernel: Convergence on Large Graphs.
Sanjukta KrishnagopalLuana RuizPublished in: CoRR (2023)
Keyphrases
- graph kernels
- labeled graphs
- graph representation
- graph theory
- directed graph
- graph classification
- graph structure
- weighted graph
- graph construction
- graph matching
- adjacency matrix
- graph properties
- graph databases
- graph mining
- graph theoretic
- graph model
- kernel methods
- graph data
- graph partitioning
- graph structures
- spanning tree
- graph representations
- subgraph isomorphism
- graph theoretical
- graph embedding
- graph isomorphism
- series parallel
- structured data
- graph search
- laplacian matrix
- graph clustering
- bipartite graph
- random graphs
- minimum spanning tree
- planar graphs
- kernel function
- undirected graph
- positive definite
- edge weights
- structural pattern recognition
- network architecture
- dynamic graph
- directed acyclic
- small world
- graph transformation
- maximum clique
- graph layout
- reachability queries
- graph drawing
- connected graphs
- inexact graph matching
- support vector
- maximal cliques
- neural network
- neighborhood graph
- graph patterns
- spectral decomposition
- maximum cardinality
- connected dominating set
- attributed graphs
- maximum common subgraph
- finding the shortest path
- evolving graphs
- massive graphs
- semi supervised
- proximity graph
- web graph
- kernel machines
- graph laplacian
- pattern mining
- directed acyclic graph
- feature space
- adjacency graph
- community discovery