https://github.com/aveek-saha/graph-attention-net

A TensorFlow 2 implementation of Graph Attention Networks (GAT)

https://github.com/aveek-saha/graph-attention-net

Science Score: 23.0%

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Keywords

gat graph-attention-networks graph-neural-networks graphs tensorflow tensorflow2
Last synced: 5 months ago · JSON representation

Repository

A TensorFlow 2 implementation of Graph Attention Networks (GAT)

Basic Info
  • Host: GitHub
  • Owner: Aveek-Saha
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 165 KB
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  • Watchers: 2
  • Forks: 0
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gat graph-attention-networks graph-neural-networks graphs tensorflow tensorflow2
Created over 5 years ago · Last pushed over 5 years ago
Metadata Files
Readme License

README.md

Graph Attention Networks

A TensorFlow 2 implementation of Graph Attention Networks for classification of nodes from the paper, Graph Attention Networks (Veličković et al., ICLR 2018).

This is my attempt at trying to understand and recreate the neural network from from the paper. You can find the official implementation here: https://github.com/PetarV-/GAT

Requirements

  • tensorflow 2
  • networkx
  • numpy
  • scikit-learn

Run

To train and test the network with the CORA dataset.

bash python train.py

Cite

Please cite the original paper if you use this code in your own work:

@article{ velickovic2018graph, title="{Graph Attention Networks}", author={Veli{\v{c}}kovi{\'{c}}, Petar and Cucurull, Guillem and Casanova, Arantxa and Romero, Adriana and Li{\`{o}}, Pietro and Bengio, Yoshua}, journal={International Conference on Learning Representations}, year={2018}, url={https://openreview.net/forum?id=rJXMpikCZ}, note={accepted as poster}, }

Owner

  • Name: Aveek Saha
  • Login: Aveek-Saha
  • Kind: user
  • Location: Boston, MA
  • Company: @akamai

Cloud Computing, Machine Learning and Full Stack. SDE co-op @akamai. MSCS student @northeastern. Previously at @HewlettPackard, @altimetrik & @ IIT Kgp.

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