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*M ACN > 12 | advanced topics – machine learning and networks (graph neural networks) > Flashcards

12 | advanced topics – machine learning and networks (graph neural networks) Flashcards

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*M ACN (14 decks)

0 | refreshing basics

1 | intro to networks; DFS and BFS

2 | articulation point / bridge and their importance

3 | network properties and types

4 | centrality measures : distance-based, eigenvalue-based

5 | network randomization and random network models : empirical p-value

6 | subnetworks and their properties : network motifs

7 | clustering and networks I : data clustering and cluster quality measures

8 | clustering and networks II : network clustering (cuts) and cluster quality measures

9 | max flow min cut : applications in clusterin

10 | network alignment : approaches and applications

11 | – network representation of data / single cell RNA seq : geometric network representation

12 | advanced topics – machine learning and networks (graph neural networks)

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