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Course 27666 AI-guided Protein Science

Graph Machine Learning

Course Structure

Topics Description Hands-on Models
Graphs Introduction to Graph Biology Data to Graphs Open In Colab
Graph Machine Learning An overview of the Graph Machine Learnign tasks and methods 1. Intro to PyG Open In Colab / 2. Shallow Embeddings Open In Colab Node2Vec / DeepWalk
Graph Neural Networks Key concepts in GNNs 1. GNN Prediction Open In Colab / 2. Graph-level Prediction Open In Colab GNN

Relevant links

IvLabs

Geometric Deep Learning

GNNs

Stanford cs 224w

Link prediction on Heterogeneous graphs

MLNTeam-Unical

Computational Network Biology

Combining Embeddings

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  • Jupyter Notebook 100.0%