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awesome-ml4co

Awesome machine learning for combinatorial optimization papers.
https://github.com/Thinklab-SJTU/awesome-ml4co

Last synced: 4 days ago
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Categories
[Problems](#content) 623 [Content](#content) 124
Sub Categories
[Mixed Integer Programming](#content) 196 [Survey Papers](#content) 124 [Travelling Salesman Problem](#content) 63 [Virtual Network Embedding](#content) 47 [Knapsack](#content) 46 [Facility Location Problem](#content) 37 [Boolean Satisfiability](#content) 36 [Bin Packing Problem](#content) 26 [Vehicle Routing Problem](#content) 25 [Graph Matching](#content) 21 [Maximum Independent Set](#content) 13 [Predict+Optimize](#content) 12 [Job Shop Scheduling Problem](#content) 11 [Sorting & Ranking](#content) 10 [Causal Discovery](#content) 10 [Differentiable Optimization](#content) 6 [Electronic Design Automation](#content) 6 [Maximal Cut](#content) 6 [Combinatorial Drug Recommendation](#content) 6 [Generalization](#content) 5 [Stochastic Combinatorial Optimization](#content) 5 [Quadratic Assignment Problem](#content) 4 [Graph Edit Distance](#content) 4 [Computing Resource Allocation](#content) 4 [Influence Maximization](#content) 4 [Optimal Power Flow](#content) 4 [Graph Coloring](#content) 4 [Orienteering Problem](#content) 2 [Max Clique](#content) 2 [Portfolio Optimization](#content) 2 [Hamiltonian Cycle Problem](#content) 1 [Maximal/Maximum Independent Set](#content) 1 [Game Theoretic Semantics](#content) 1 [Car Dispatch](#content) 1 [Conjunctive Query Containment](#content) 1 [Maximal Common Subgraph](#content) 1