Machine-learning-with-graphs

'Machine learning with graphs' course for the Machine Learning Group (MLG) seminar 2021

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
.idea		.idea
1. Introduction. Structure of Graphs		1. Introduction. Structure of Graphs
2. Properties of Networks and Random Graphs		2. Properties of Networks and Random Graphs
3. Motifs and Structural Roles In Networks		3. Motifs and Structural Roles In Networks
4. Community Structure in Networks		4. Community Structure in Networks
5. Spectral Clusering		5. Spectral Clusering
6. Message Passing and Node Classification		6. Message Passing and Node Classification
7. Graph Representation Learning		7. Graph Representation Learning
README.md		README.md
requirements.txt		requirements.txt

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