Boundary degree as a per-node feature improves epidemic scenario identification accuracy by 19% on realistic contact networks from Tennessee and Virginia.
Cascade2vec: Learning Dynamic Cascade Representation by Recurrent Graph Neural Networks
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Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations
Boundary degree as a per-node feature improves epidemic scenario identification accuracy by 19% on realistic contact networks from Tennessee and Virginia.