Deep Graph Mapper: Seeing Graphs Through the Neural Lens.
Cristian BodnarCatalina CangeaPietro LiòPublished in: Frontiers Big Data (2021)
Keyphrases
- graph structure
- graph matching
- directed graph
- graph theory
- graph representation
- weighted graph
- graph construction
- labeled graphs
- adjacency matrix
- graph classification
- graph theoretic
- graph model
- graph structures
- graph databases
- graph mining
- graph theoretical
- graph clustering
- spanning tree
- random graphs
- connected graphs
- series parallel
- graph data
- graph properties
- graph transformation
- bipartite graph
- structural pattern recognition
- subgraph isomorphism
- undirected graph
- graph isomorphism
- graph search
- graph partitioning
- inexact graph matching
- evolving graphs
- dynamic graph
- maximum cardinality
- web graph
- graph kernels
- graph representations
- graph layout
- random walk
- edge weights
- structured data
- graph drawing
- directed acyclic
- disk resident
- maximal cliques
- reachability queries
- graph patterns
- finding the shortest path
- maximum common subgraph
- spectral decomposition
- proximity graph
- dense subgraphs
- neighborhood graph
- real world graphs
- attributed graphs
- bounded treewidth
- connected dominating set
- massive graphs
- community discovery
- average degree
- social graphs
- maximum clique
- query graph
- minimum spanning tree
- connected components
- relational structures
- small world
- network architecture
- directed acyclic graph
- shortest path