machine-learning-with-graphs
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njmarko
njmarko
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
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
Lectures can be found here CS224W: Machine Learning with Graphs Video Lectures
- Colab0 NetworkX and GNN (GCN) with Pytorch Geometric (PyG) on Karate club example
- Colab1 Node embedding learning
- Colab2 GCN implementations for node and graph property predictions on Open Graph Benchmark (OGB) datasets
- Colab3 GraphSAGE message passing layer implementation for node classification on CORA dataset
- Colab4 Graph Attention Network (GAT) message passing layer implementation for node classification on CORA dataset
njmarko