https://github.com/shenweichen/GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
https://github.com/shenweichen/GraphNeuralNetwork

gat gcn gnn graph-attention graphsage

Last synced: about 1 month ago
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Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

• Host: GitHub
• URL: https://github.com/shenweichen/GraphNeuralNetwork
• Owner: shenweichen
• License: mit
• Created: 2019-08-17T15:38:40.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-01-11T02:48:19.000Z (almost 2 years ago)
• Last Synced: 2024-10-14T21:10:31.227Z (2 months ago)
• Topics: gat, gcn, gnn, graph-attention, graphsage
• Language: Python
• Homepage:
• Size: 5.35 MB
• Stars: 782
• Watchers: 12
• Forks: 183
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• StarryDivineSky - shenweichen/GraphNeuralNetwork

README

        
# Graph Neural Network

# Method

|   Model   | Paper                                                                                                                      | Note                                                                                        |

| :-------: | :------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------ |

| GCN  | [ICLR 2017][Semi-Supervised Classification with Graph Convolutional Networks](https://arxiv.org/pdf/1609.02907) | [【Graph Neural Network】GCN：算法原理，实现和应用](https://zhuanlan.zhihu.com/p/78624225)  |

| GraphSAGE  | [NIPS 2017][Inductive representation learning on large graphs](https://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf) | [【Graph Neural Network】GraphSAGE：算法原理，实现和应用](https://zhuanlan.zhihu.com/p/79637787)  |

| GAT  | [ICLR 2018][Graph Attention Nerworks](https://arxiv.org/pdf/1710.10903.pdf) |  |

# How to run examples

1. clone the repo and use `pip install -r requirements.txt` to setup the operating environment with `python>=3.6`.

2. run following commands

```bash

cd gnn

python run_gcn_cora.py

python run_graphsage_cora.py

python run_gat_cora.py

```

# DisscussionGroup

|公众号：浅梦学习笔记|微信：deepctrbot|

|:--:|:--:|

| [![公众号](https://github.com/shenweichen/GraphEmbedding/blob/master/pics/code.png)](https://github.com/shenweichen/AlgoNotes)| [![微信](https://github.com/shenweichen/GraphEmbedding/blob/master/pics/deepctrbot.png)](https://github.com/shenweichen/AlgoNotes)|