https://github.com/bkj/pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.
https://github.com/bkj/pytorch-graphsage

graph-convolutional-networks graphsage neural-network

Last synced: 9 months ago
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Representation learning on large graphs using stochastic graph convolutions.

• Host: GitHub
• URL: https://github.com/bkj/pytorch-graphsage
• Owner: bkj
• Created: 2017-10-15T20:28:37.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-05-08T23:32:13.000Z (about 8 years ago)
• Last Synced: 2025-06-15T06:07:04.007Z (about 1 year ago)
• Topics: graph-convolutional-networks, graphsage, neural-network
• Language: Python
• Homepage:
• Size: 6.36 MB
• Stars: 138
• Watchers: 7
• Forks: 28
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

          
### graphsage

`pytorch` version of https://github.com/williamleif/GraphSAGE

There are also a handful of new features, including:

  - scripts for preprocessing data

  - attention-based aggregator

  - sparse edge sampler (eg, don't use the dense 2D edgelist)

  - richer, pluggable preprocessing classes

This version is missing some features, as well.  Namely:

  - we don't support unsupervised models (yet)

A simplified version of the original Tensorflow version can be found on branch `tf-simple`.

##### LICENSE

MIT