Alexandre Hayderi

MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation

Online Bayesian bipartite matching is a central problem in digital marketplaces and exchanges, including advertising, crowdsourcing, ridesharing, and kidney exchange. We introduce a graph neural network (GNN) approach that emulates the problem's combinatorially-complex optimal online algorithm, whic…