Transferable Graph Neural Networks on Large-Scale Stochastic Graphs.
Luana RuizLuiz F. O. ChamonAlejandro RibeiroPublished in: ACSCC (2021)
Keyphrases
- neural network
- massive graphs
- graph representation
- graph matching
- graph theory
- directed graph
- graph structure
- labeled graphs
- weighted graph
- graph databases
- adjacency matrix
- graph theoretical
- graph construction
- graph properties
- graph classification
- graph mining
- graph structures
- graph clustering
- random graphs
- graph theoretic
- pattern recognition
- reachability queries
- graph search
- graph partitioning
- graph model
- structural pattern recognition
- graph transformation
- series parallel
- subgraph isomorphism
- spanning tree
- dynamic graph
- bipartite graph
- graph isomorphism
- graph data
- undirected graph
- minimum spanning tree
- maximum clique
- graph representations
- graph patterns
- proximity graph
- evolving graphs
- maximum cardinality
- maximum common subgraph
- graph drawing
- artificial neural networks
- social networks
- topological information
- frequent subgraphs
- maximal cliques
- connected dominating set
- web graph
- dense subgraphs
- graph layout
- disk resident
- social graphs
- community discovery
- inexact graph matching
- planar graphs
- query graph
- graph mining algorithms
- finding the shortest path
- back propagation
- structured data
- association graph
- graph kernels
- hopfield neural network
- average degree
- attributed graphs
- spectral decomposition
- community detection
- connected components
- graph embedding
- adjacency graph
- attributed relational graph
- strongly connected
- graphical models