Orienting (Hyper)graphs Under Explorable Stochastic Uncertainty
(2021)
Presentation / Conference Contribution
Bampis, E., Dürr, C., Erlebach, T., de Lima, M. S., Megow, N., & Schlöter, J. (2021, December). Orienting (Hyper)graphs Under Explorable Stochastic Uncertainty. Presented at 29th Annual European Symposium on Algorithms (ESA 2021), Lisbon, Portugal (Virtual Conference)
Given a hypergraph with uncertain node weights following known probability distributions, we study the problem of querying as few nodes as possible until the identity of a node with minimum weight can be determined for each hyperedge. Querying a node... Read More about Orienting (Hyper)graphs Under Explorable Stochastic Uncertainty.