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8 public repositories
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ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.
Updated
Nov 17, 2025
Python
Implementations of modern convex optimization-based graph algorithms in Python. Available on the Python Package Index (PyPI).
Updated
Jul 18, 2019
Python
Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".
Updated
Jun 18, 2022
Python
A quantum algorithm for the maximum cut problem in arbitrary graphs. Implementation using Qiskit.
Updated
Jan 7, 2026
Jupyter Notebook
Solver for Maximum Cut and QUBO problems
Custom unembedding techniques for quantum annealers
Updated
Jan 9, 2023
Python
FPT-based data reduction and kernelization for the maximum cut problem
Research exploration of heuristic and learning-based methods for Max-Cut, conducted at UC San Diego
Updated
Nov 6, 2025
Python
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