A graph neural network integrated over continuous time learns the differential equations governing networked systems and predicts their future states, outperforming several temporal-graph baselines on simulated dynamics.
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Neural Dynamics on Complex Networks
A graph neural network integrated over continuous time learns the differential equations governing networked systems and predicts their future states, outperforming several temporal-graph baselines on simulated dynamics.