Discovering alignment relations with Graph Convolutional Networks: A biomedical case study.
Pierre MonninChedy RaïssiAmedeo NapoliAdrien CouletPublished in: Semantic Web (2022)
Keyphrases
- case study
- graph structures
- social graphs
- average degree
- dependency graph
- social networks
- graph theory
- graph structure
- fully connected
- community discovery
- edge weights
- complex networks
- directed graph
- graph representation
- weighted graph
- dynamic networks
- bipartite graph
- network structure
- text mining
- graph mining
- real world
- semantic relations
- degree distribution
- heterogeneous networks
- small world
- random walk
- biomedical literature
- software development
- information extraction
- network size
- undirected graph
- missing links
- random graphs
- path length
- biological networks
- network analysis
- spatial relations
- machine learning