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Stanford CS224W Graph ML Tutorials

A collection of Graph Machine Learning tutorial blog posts created by Stanford students as the capstone project of CS224W.

Amrita Palaparthi in Stanford CS224W GraphML Tutorials

Are You for Real?

Fake News Detection on Incomplete Twitter Networks

Leah Reeder in Stanford CS224W GraphML Tutorials

GNNs and atomic coordinates: predicting a protein’s conformational landscape

Benjamin Wittenbrink in Stanford CS224W GraphML Tutorials

Spotify Track Neural Recommender System

By Eva Batelaan, Thomas Brink, and Benjamin Wittenbrink

Aman Kansal in Stanford CS224W GraphML Tutorials

Fraudulent Activity Recognition in Graph Networks

By Ansh Khurana, Aman Kansal and Soumya Chatterjee

Grant Uy in Stanford CS224W GraphML Tutorials

A tour of PyG’s data loaders

By Grant Uy and Huijian Cai as part of the Stanford CS224W course project.

Anirudhan, Jacob, Zach Final Project in Stanford CS224W GraphML Tutorials

Graph Neural Networks for Knowledge Tracing

By Anirudhan Badrinath, Jacob Smith, and Zachary Chen as part of the Stanford CS224W…

Sherry Wu in Stanford CS224W GraphML Tutorials

Spread No More: Twitter Fake News Detection with GNN

By Li Tian, Sherry Wu, Yifei Zheng as part of the…

Arjun Karanam in Stanford CS224W GraphML Tutorials

Augmenting Your Notes Using Graph Neural Networks

Jay Yu in Stanford CS224W GraphML Tutorials

Re-Mix and Match!

Spotify Artist Collaboration Prediction with Graph Attention Networks

Samuel Hunter in Stanford CS224W GraphML Tutorials

Locomotion Reconstruction with the Heterogeneous Graph Transformer

Stanford CS224W GraphML Tutorials

Tutorials of machine learning on graphs using PyG, written by Stanford students in CS224W.

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