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Lecture11. Machine Learning on graphs. Node classification.
Learning and Extrapolation in Graph Neural Networks
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs | Spotlight 1-1A
Demystifying and Mitigating Unfairness for Machine Learning over Graphs
Introduction to Machine Learning on Graphs
An Introduction to Graph Neural Networks: Models and Applications
Stanford CS224W: ML with Graphs | 2021 | Lecture 6.1 - Introduction to Graph Neural Networks
Machine Learning with Graphs: Graph Neural Network Model
Machine Learning with Graphs - Node Embeddings
Steve Purves - Graph Convolutional Networks for Node Classification
Mixup for Node and Graph Classification
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Last Updated: August 14, 2026
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