Structural Node Embedding
3 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification
Network node embedding is an active research subfield of complex network analysis.
RiWalk: Fast Structural Node Embedding via Role Identification
Learning latent representations for the roles of nodes helps to understand the network and to transfer knowledge across networks.
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
Learning from complex real-life networks is a lively research area, with recent advances in learning information-rich, low-dimensional network node representations.