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Network Science. Lecture15. Machine learning on graphs. Node classification.
Stanford CS224W: ML with Graphs | 2021 | Lecture 5.2 - Relational and Iterative Classification
An Introduction to Graph Neural Networks
Prof. Ariful Azad - Computational Building Blocks for Machine Learning on Graphs
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 17.3 - Cluster GCN: Scaling up GNNs
Mixup for Node and Graph Classification
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 11.1 - Reasoning in Knowledge Graphs
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Last Updated: September 20, 2026
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