GraphNeuralNetwork

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

From shenweichen·Updated May 23, 2026·View on GitHub·

1. clone the repo and use `pip install -r requirements.txt` to setup the operating environment with `python>=3.6`. 2. run following commands The project is written primarily in Python, distributed under the MIT License license, first published in 2019. Key topics include: gat, gcn, gnn, graph-attention, graphsage.

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

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

bash
cd gnn
python run_gcn_cora.py
python run_graphsage_cora.py
python run_gat_cora.py

DisscussionGroup

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Contributors

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shenweichen

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This article is auto-generated from shenweichen/GraphNeuralNetwork via the GitHub API.Last fetched: 5/31/2026