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