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Gated Graph Neural Networks for Learning Hidden Independent Cascade Dynamics
Information and infectious diseases spread through social networks, but the spreading probabilities driving them are hard to estimate without per-node activation times. Applications seldom supply these, and inference must instead proceed through indirect and noisy proxies for the terminal infection
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