Construction and Training of Multi-Associative Graph Networks.
Adrian HorzykDaniel BulandaJanusz A. StarzykPublished in: ECML/PKDD (3) (2023)
Keyphrases
- training set
- average degree
- directed edges
- graph structures
- edge weights
- network structure
- highly connected
- directed graph
- graph theory
- network analysis
- training samples
- social graphs
- recurrent networks
- graph structure
- fully connected
- training process
- graph theoretic
- structured data
- social networks
- network size
- random walk
- graph representation
- training phase
- directed acyclic graph
- weighted graph
- bipartite graph
- graph matching
- training examples
- densely connected
- complex networks
- supervised learning
- connected components
- betweenness centrality
- community discovery
- random graphs
- path length
- small world
- heterogeneous networks
- graph mining
- biological networks