Orienting (hyper)graphs under explorable stochastic uncertainty.
Evripidis BampisChristoph DürrThomas ErlebachMurilo S. de LimaNicole MegowJens SchlöterPublished in: CoRR (2021)
Keyphrases
- stochastic nature
- stochastic simulation
- uncertain data
- graph matching
- graph representation
- stochastic optimization
- monte carlo
- graph theory
- structured objects
- inherent uncertainty
- pairwise
- graph databases
- belief functions
- graph partitioning
- neural network
- decision theory
- graph theoretic
- expected utility
- possibility theory
- random graphs
- decision makers
- artificial neural networks