Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches.
Gamal K. O. CrichtonYufan GuoSampo PyysaloAnna KorhonenPublished in: BMC Bioinform. (2018)
Keyphrases
- graph embedding
- link prediction
- multi dimensional
- neural network
- graph kernels
- bipartite graph
- graph mining
- social networks
- social network analysis
- random walk
- data representation
- dimensionality reduction
- complex networks
- discriminant analysis
- topological features
- data sets
- supervised learning
- semi supervised
- pairwise
- high dimensional
- network structure
- subspace learning
- pattern recognition