Machine Learning over Graphs
summary
Introduces machine learning methods applied to graph-structured data, demonstrating algorithms and techniques with open-source code and public datasets. Covers practical examples using a text dataset and Twitter network data, and shows how graph-based methods can be integrated into everyday ML workflows.
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chapters (7)
- 0:00Graph tutorial
- 10:20Graph creation in Python
- 20:16Node properties and metrics
- 33:47Community detection
- 43:34Machine learning on graphs
- 56:09Network diffusion analysis
- 1:05:02Q&A
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