A hierarchical variational graph recurrent network represents nodes of evolving graphs as probability distributions and outperforms existing dynamic graph embedding baselines in link prediction.
Learning structural node embeddings via diffusion wavelets
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2019 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Variational Graph Recurrent Neural Networks
A hierarchical variational graph recurrent network represents nodes of evolving graphs as probability distributions and outperforms existing dynamic graph embedding baselines in link prediction.