- Clustering [2],[8] and classification [3],[5],[7] of metabolic networks [22].
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],[21],[23].
- Community detection [24].
- Gene essentiality identification [26], [28], [30],
[32], [33], [35].
|