- Clustering [2],[8] and classification [3],[5],[7] of metabolic networks.
See also our poster on Supervised and Unsupervised Learning on Biological Networks (2019).
- Network similarities [7],[9].
- Whole-graph embedding [11][12][15][19]
and its robustness [13],[14],[16],[17],[18].
- Community detection [21].
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