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Found 5 papers, 4 papers with code
Solving the Tree Containment Problem Using Graph Neural Networks
In particular, we propose to combine the given network and the tree and apply a Graph Neural Network to this network-tree graph.
Neur2BiLO: Neural Bilevel Optimization
Bilevel optimization deals with nested problems in which a leader takes the first decision to minimize their objective function while accounting for a follower's best-response reaction.
Neur2RO: Neural Two-Stage Robust Optimization
This work addresses two-stage robust optimization (2RO) problems (also called adjustable robust optimization), wherein first-stage and second-stage decisions are made before and after uncertainty is realized, respectively.
Constructing Phylogenetic Networks via Cherry Picking and Machine Learning
In this paper, we apply the recently-introduced theoretical framework of cherry picking to design a class of efficient heuristics that are guaranteed to produce a network containing each of the input trees, for datasets consisting of binary trees.
Machine Learning for K-adaptability in Two-stage Robust Optimization
One of the solution approaches to this class of problems is K-adaptability.
