Generalizing Graph Neural Networks on Out-of-Distribution Graphs.
Shaohua FanXiao WangChuan ShiPeng CuiBai WangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2024)
Keyphrases
- neural network
- graph theory
- graph representation
- graph structure
- graph databases
- graph matching
- labeled graphs
- directed graph
- weighted graph
- graph theoretic
- graph mining
- graph construction
- graph classification
- graph structures
- graph search
- graph partitioning
- adjacency matrix
- graph model
- degree distribution
- series parallel
- graph clustering
- undirected graph
- structural pattern recognition
- graph theoretical
- random graphs
- graph kernels
- graph data
- graph transformation
- pattern recognition
- graph properties
- subgraph isomorphism
- web graph
- dynamic graph
- graph isomorphism
- power law
- bipartite graph
- maximum common subgraph
- inexact graph matching
- connected graphs
- reachability queries
- graph drawing
- random walk
- maximum clique
- minimum spanning tree
- query graph
- evolving graphs
- graph representations
- graph embedding
- connected dominating set
- directed edges
- directed acyclic
- artificial neural networks
- topological information
- probability distribution
- maximal cliques
- real world graphs
- random variables
- back propagation
- adjacency graph
- graph patterns
- structured data
- edge weights
- neighborhood graph
- proximity graph
- graph layout
- planar graphs
- spanning tree
- attributed graphs
- finding the shortest path
- maximum cardinality
- input pattern
- shortest path
- community discovery
- complex networks
- connected components