ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.
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Updated
May 22, 2025 - Python
ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.
Implementations of modern convex optimization-based graph algorithms in Python. Available on the Python Package Index (PyPI).
Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".
A quantum algorithm for the maximum cut problem in arbitrary graphs. Implementation using Qiskit.
Custom unembedding techniques for quantum annealers
Solver for Maximum Cut and QUBO problems
Research exploration of heuristic and learning-based methods for Max-Cut, conducted at UC San Diego
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