https://github.com/njmarko/machine-learning-with-graphs
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
https://github.com/njmarko/machine-learning-with-graphs
gat gcn gnn graph-neural-networks graphsage message-passing pytorch
Last synced: 3 months ago
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My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
- Host: GitHub
- URL: https://github.com/njmarko/machine-learning-with-graphs
- Owner: njmarko
- Created: 2022-01-12T11:43:10.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2022-04-05T10:09:53.000Z (over 3 years ago)
- Last Synced: 2025-04-08T15:52:37.119Z (6 months ago)
- Topics: gat, gcn, gnn, graph-neural-networks, graphsage, message-passing, pytorch
- Language: Jupyter Notebook
- Homepage:
- Size: 1.25 MB
- Stars: 29
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# machine-learning-with-graphs
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs
Course materials can be found here [CS224W: Machine Learning with Graphs Materials](http://web.stanford.edu/class/cs224w/)
Lectures can be found here [CS224W: Machine Learning with Graphs Video Lectures](https://youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
- [Colab0 NetworkX and GNN (GCN) with Pytorch Geometric (PyG) on Karate club example](https://github.com/njmarko/machine-learning-with-graphs/blob/master/MyAttempts/CS224W_Colab_0.ipynb)
- [Colab1 Node embedding learning](https://github.com/njmarko/machine-learning-with-graphs/blob/master/MyAttempts/CS224W_Colab_1.ipynb)
- [Colab2 GCN implementations for node and graph property predictions on Open Graph Benchmark (OGB) datasets](https://github.com/njmarko/machine-learning-with-graphs/blob/master/MyAttempts/CS224W_Colab2.ipynb)
- [Colab3 GraphSAGE message passing layer implementation for node classification on CORA dataset](https://github.com/njmarko/machine-learning-with-graphs/blob/master/MyAttempts/CS224W_Colab3.ipynb)
- [Colab4 Graph Attention Network (GAT) message passing layer implementation for node classification on CORA dataset](https://github.com/njmarko/machine-learning-with-graphs/blob/master/MyAttempts/CS224W_Colab4.ipynb)