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There seems to be a dearth of community detection algorithms in the current Graphs.jl. Hopefully this can be remedied in the future, and to that end I thought I'd list the ones that NetworkX [currentl…
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This Issue is a container for CD methods that CDlib users would like to see integrated into library future releases.
When adding a new algorithm to the issue please specify:
- Name
- Reference …
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The [Community Detection via Semi-Synchronous Label Propagation Algorithms](https://arxiv.org/abs/1103.4550) is commonly used to identify communities in graphs, and is present in other libraries/tools…
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See [De Domenico et al. (2015)](https://doi.org/10.1103/PhysRevX.5.011027).
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The idea is to list and test classic, pre-implemented algorithms for community detection:
- Louvain detection using this implementation https://github.com/taynaud/python-louvain/
- hierarchical clus…
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Preliminary:
- [ ] Define algorithms to implement
- [ ] Write interfaces / classes
- [ ] Write standard test cases
Implement:
- [ ] Disjoint Set (Or Union-Find)
- [ ] Louvain
- [ ] Label …
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#### Related to Community Detection
- Large graph visualization using community detection
- Circling a set of nodes with a boundary such that obstruction is proportional to BFS
- [Nearly Balanced…
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Nice work to follow. However, I didn't see the comparison against traditional community detection algorithms, such as louvain, LPA, infomap etc. Any opinions about the pros and cons between the embedd…
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**Description:** Opens the door to leveraging algorithms in the areas of Centrality, Community Detection, Pathfinding, Topological Link Prediction, etc. Bringing to bear advances made in Machine Learn…