Exploring-the-Potential-of-Graph-Neural-Networks-based-Methods-for-General-Linear-Program

This is a code repository for the attempted demonstration paper: Exploring the Potential of Graph Neural Networks-based Methods for General Linear Programs. It outlines the code experimentation on SIB, LTP and IPMGNN model for an general Linear Program Solvers.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/boomer3boom%2FExploring-the-Potential-of-Graph-Neural-Networks-based-Methods-for-General-Linear-Program

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 5.44 MB
Dependencies parsed at: Pending

Created at: 11 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago

Topics: gnn, lp, operational-research

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Repos

GitHub / boomer3boom / Exploring-the-Potential-of-Graph-Neural-Networks-based-Methods-for-General-Linear-Program