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**Describe the bug**
Similar to issue #241 and with the same root cause. The existing code only handles int and string type nodes, but networkx nodes can also be other Python hashable types.
**To …
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It could be useful to add the complexity of all the algorithms implemented in [scipy.sparse.csgraph](http://docs.scipy.org/doc/scipy/reference/sparse.csgraph.html#module-scipy.sparse.csgraph), in orde…
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I read Alessandro Epasto's slides from page 241 in https://gm-neurips-2020.github.io/master-deck.pdf. He shows great results and the key is an interesting graph transformation. Could we put this in a …
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After reading other "issues", I've noticed that the selection of the clustering algorithm depends solely on the researcher and on the purpose of the research project.
Given that there are many types…
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_Louvain_ is an algorithm for detecting communities in networks that relies upon a heuristic for maximizing the modularity.
- [x] single threaded implementation Louvain Phase 1 (modularity based c…
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Enhance the demo (choose an appropriate one of the demos) by taking an arbitrary flat graph and generating a hierarchically clustered version, where clusters are represented by compound nodes. This sh…
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[SciSpark 202: Algorithms for MCC Search and PDF Clustering using SciSpark](http://live.commons.esipfed.bluedotapps.org/node/9029)
# Abstract/Agenda:
We introduce a 3 part course module on SciSpark, …
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Is there a way to calculate the clustering coefficient for the graph and the node? Or any plan to support this? thanks.
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Looking at Visumap, the majority of those algorithms are found in scikit-learn or scikit-bio, namely
**Ordination**
- [SMACOF](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/manifol…
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This is an umbrella issue for various algorithms that might or should be implemented mid- to long-term.
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**Clustering**
- [ ] Transitivity
**Connectivity**
- [ ] Is connected
- [x] …