njmarko/machine-learning-with-graphs

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