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About the developer

shenweichen
507 Stars 144 Forks MIT License 7 Commits 8 Opened issues

Description

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

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Graph Neural Network

Method

| Model | Paper | Note | | :-------: | :------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------ | | GCN | [ICLR 2017]Semi-Supervised Classification with Graph Convolutional Networks | 【Graph Neural Network】GCN:算法原理,实现和应用 | | GraphSAGE | [NIPS 2017]Inductive representation learning on large graphs | 【Graph Neural Network】GraphSAGE:算法原理,实现和应用 | | GAT | [ICLR 2018]Graph Attention Nerworks | |

How to run examples

  1. clone the repo and use
    pip install -r requirements.txt
    to setup the operating environment.
  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:浅梦的学习笔记 wechat ID: deepctrbot wechat

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