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Found 3 papers, 1 papers with code
Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation
In addition to solving the network embedding problem, both proposed GCNs are capable of performing dimensionality reduction.
A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons
By relating the propagation probabilities in the IC model to the transmission rates and recovering rates in the SIR model, we show 2 approaches of social distancing that can lead to a reduction of $R_0$.
A Reinforcement Learning Approach for the Multichannel Rendezvous Problem
For such a multichannel rendezvous problem, we are interested in finding the optimal policy to minimize the expected time-to-rendezvous (ETTR) among the class of {\em dynamic blind rendezvous policies}, i. e., at the $t^{th}$ time slot each user selects channel $i$ independently with probability $p_i(t)$, $i=1, 2, \ldots, N$.
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