Structural Node Embedding
3 papers with code • 0 benchmarks • 0 datasets
These leaderboards are used to track progress in Structural Node Embedding
Learning latent representations for the roles of nodes helps to understand the network and to transfer knowledge across networks.
Learning from complex real-life networks is a lively research area, with recent advances in learning information-rich, low-dimensional network node representations.