muyeeeee

muyeeeee's Stars

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k322

• networkanddatasciencelab/learn2branch

  Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

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• bwilder0/clusternet

  Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"

  Language:Python8622

• machine-reasoning-ufrgs/TSP-GNN

  Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G with up to a given cost?)

  Language:Python11425

• riccardodv/PI-GNN-implementation

  Implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" Schuetz, Brubaker, Katzgraber (https://arxiv.org/abs/2107.01188)

  Language:Python1

• TeddyHuang-00/PI-GNN

  This is my implementation to reproduce some result in the paper "Combinatorial optimization with physics-inspired graph neural networks"

  Language:Python5

• IvanIsCoding/GNN-for-Combinatorial-Optimization

  JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.

  Language:Jupyter Notebook433