Graph Neural Thompson Sampling
Thompson Sampling, a multi-armed bandit solution strategy is extended into the realm of contextual bandits using graph neural networks. The objective is to do resource allocation in network diffusion processes like epidemics and opinion dynamics. Currently, testing kit allocation experiments for epidemic control are done.
Graft: Graph-based Framework for Network Diffusion Parameter Estimation
Graft is a framework for parameter estimation for network diffusion processes like epidemics, and opinion dynamics. Currently, the framework provides good results for epidemic parameter classification and inference and reasonable results for Hegselmann–Krause (HK) opinion dynamics models.