Code and Data Repository for Learning in RLT-based Spatial Branching: Limitations of Strong Branching Imitation

The numerical experiments reported in the paper were conducted using RAPOSa 3.0.1 on Ubuntu 22.04. The RAPOSa executable is available in the scripts folder. More information can be found at https://raposa.usc.es.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2025-09-23
DOI
https://doi.org/10.1287/ijoc.2024.0775.cd
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
2.48
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article

Code and Data Repository for Learning in RLT-based Spatial Branching: Limitations of Strong Branching Imitation

Beatriz Pateiro‐López, Ignacio Gómez-Casares, Brais González-Rodríguez, Bissan Ghaddar et al.
1 citations
INFORMS journal on computing
Natural Language Processing Techniques
2.48
article

Code and Data Repository for Learning in RLT-based Spatial Branching: Limitations of Strong Branching Imitation

Beatriz Pateiro‐López, Ignacio Gómez-Casares, Brais González-Rodríguez, Bissan Ghaddar, Julio González-Díaz
article en
1 citations

Abstract

The numerical experiments reported in the paper were conducted using RAPOSa 3.0.1 on Ubuntu 22.04. The RAPOSa executable is available in the scripts folder. More information can be found at https://raposa.usc.es.

INFORMS journal on computing
Openalex Percentile: Top 8%
Natural Language Processing Techniques
2.48
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