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Lecture11. Machine Learning on graphs. Node classification.
Learning and Extrapolation in Graph Neural Networks
An Introduction to Graph Neural Networks: Models and Applications
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs | Spotlight 1-1A
Demystifying and Mitigating Unfairness for Machine Learning over Graphs
Mixup for Node and Graph Classification
Stanford CS224W: ML with Graphs | 2021 | Lecture 6.1 - Introduction to Graph Neural Networks
Introduction to Machine Learning on Graphs
Machine Learning with Graphs: Graph Neural Network Model
Graph Machine Learning for Visual Computing
Machine Learning with Graphs - Node Embeddings
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Last Updated: August 22, 2026
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