Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

Code for TSP Transformer

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

TensorFlow implementation of "Pointer Networks"

Too many to change, I would like to create a new repository and maintain it.

Python implementation of Luby's algortihm for finding maximum independent set

Algorithm for solving the problems of maximum independent set, maximum clique and satisfiability, using Branch and Bound

Pytorch implementation of Pointer Network

Official Implementation of the NeurIPS'23 paper 'Maximum Independent Set: Self-Training through Dynamic Programming'.

Library for the analysis of networks

Dynamic programming algorithm (and reconstruction procedure) that finds the maximum-weight independent set of a path graph

A benchmarking suite for maximum independent set solvers.

Maximum independent sets and vertex covers of large sparse graphs.

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。

Solution to a maximum independent set problem

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

Sequence to Sequence Learning with Keras

"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver