Graph Augmentation for Neural Networks Using Matching-Graphs.
Mathias FuchsKaspar RiesenPublished in: ANNPR (2022)
Keyphrases
- graph matching
- neural network
- maximum cardinality
- subgraph isomorphism
- pattern recognition
- graph matching algorithm
- graph representation
- bipartite graph
- adjacency matrix
- inexact graph matching
- graph theory
- matching algorithm
- association graph
- graph theoretic
- weighted graph
- attributed relational graph
- directed graph
- graph structure
- graph databases
- graph properties
- structural pattern recognition
- random graphs
- graph mining
- labeled graphs
- graph structures
- maximum common subgraph
- graph clustering
- series parallel
- graph construction
- graph isomorphism
- artificial neural networks
- image matching
- graph classification
- graph partitioning
- relational structures
- graph data
- undirected graph
- edit distance
- graph theoretical
- graph patterns
- reachability queries
- finding the shortest path
- attributed graphs
- connected graphs
- graph search
- planar graphs
- minimum weight
- spanning tree
- maximal cliques
- pattern matching
- random walk
- social graphs
- graph representations
- maximum clique
- graph model
- graph kernels
- adjacency graph
- graph transformation
- complex networks
- minimum spanning tree
- directed acyclic
- quasi cliques
- structured data
- maximum weight
- topological information
- back propagation
- similarity scores