A hierarchical variational graph recurrent network represents nodes of evolving graphs as probability distributions and outperforms existing dynamic graph embedding baselines in link prediction.
Dynamic network embedding by modeling triadic closure process
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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.