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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. Node-level Prediction Open In Colab / 2. Intro to PyG Open In Colab Node2Vec / DeepWalk
Graph Neural Networks Key concepts in GNNs 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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This is part of an AI course

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