Deep Graph Mapper: Seeing Graphs through the Neural Lens.
Cristian BodnarCatalina CangeaPietro LiòPublished in: CoRR (2020)
Keyphrases
- graph theory
- graph representation
- weighted graph
- graph matching
- graph structure
- graph databases
- directed graph
- graph construction
- labeled graphs
- graph theoretical
- adjacency matrix
- random graphs
- graph mining
- graph theoretic
- graph model
- graph structures
- graph search
- graph properties
- subgraph isomorphism
- series parallel
- graph partitioning
- graph clustering
- graph classification
- dynamic graph
- undirected graph
- network architecture
- bipartite graph
- spanning tree
- neural network
- minimum spanning tree
- graph isomorphism
- reachability queries
- graph representations
- evolving graphs
- graph transformation
- directed acyclic
- structural pattern recognition
- disk resident
- maximal cliques
- graph kernels
- graph data
- edge weights
- web graph
- planar graphs
- random walk
- query graph
- graph layout
- maximum common subgraph
- adjacency graph
- small world
- attributed graphs
- spectral decomposition
- topological information
- maximum independent set
- inexact graph matching
- connected dominating set
- dense subgraphs
- graph drawing
- social graphs
- maximum clique
- fully connected
- graph patterns
- polynomial time complexity
- maximum cardinality
- connected graphs
- bounded treewidth
- attributed relational graph
- structured data