Thinklab-SJTU/awesome-ml4co resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2164 stars · 241 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of research papers applying machine learning to combinatorial optimization problems such as TSP, graph matching, scheduling, and SAT. It is maintained by SJTU Thinklab and organized by problem domain with survey sections.

Use cases

• find papers on machine learning for combinatorial optimization
• survey neural approaches to the travelling salesman problem
• research learning-based solvers for graph matching
• keep up with ML for operations research literature
• find reinforcement learning methods for job shop scheduling
• start studying neural combinatorial optimization

When to choose

• you need a curated, categorized reading list of ML4CO papers
• you are a researcher surveying learning-based optimization methods
• you want community-maintained coverage of a specific problem like TSP or MIP

When to avoid

• you need runnable solver code rather than a paper index
• you want a library or tool to integrate into your project
• you need non-optimization machine learning resources

Facets

learning-resource · maturity active

machine-learning developer-tools machine-learning tutorials awesome-lists cross-platform awesome-list combinatorial-optimization operations-research paper-list reinforcement-learning graph-neural-networks algorithms

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markdown · JSON · MCP: product_card(name="Thinklab-SJTU/awesome-ml4co")