FastGAE: Scalable graph autoencoders with stochastic subgraph decoding.
Guillaume SalhaRomain HennequinJean-Baptiste RemyManuel MoussallamMichalis VazirgiannisPublished in: Neural Networks (2021)
Keyphrases
- graph mining
- graph mining algorithms
- graph databases
- graph properties
- graph classification
- labeled graphs
- maximum weight
- graph data
- frequent subgraph mining
- denoising
- maximum matching
- subgraph isomorphism
- monte carlo
- subgraph mining
- bipartite graph
- graph search
- dense subgraphs
- directed graph
- frequent subgraphs
- biological networks
- graph matching
- maximum clique
- subgraph matching
- graph theory
- finite state transducers
- graph structure
- connected components
- stable set
- weighted graph
- decoding algorithm
- community discovery
- graph representation
- spanning tree
- connected subgraphs
- np hard
- scalable video codec
- similarity graph
- query graph
- decoding process
- graph structures
- edge weights
- undirected graph
- directed acyclic graph
- edit distance
- relational data