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Hi,
I am working with a graph that has both node attributes (numerical) and edge labels (categorical, string-like). I checked the community detection algorithms listed in https://cdlib.readthedocs.io/en/latest/reference/cd_algorithms/node_clustering.html,
and saw that eva and ilouvain algorithms are capable of handling node attributes. However, from the descriptions, I am not finding an algorithm that can handle edge-labeled graphs.
Is there any CD algorithm implemented in cdlib that can handle both labeled-edge and node attributes?
The text was updated successfully, but these errors were encountered:
Thanks for your comment @Yquetzal. Just to double-check, edge labels can simply be a color for each edge from a set of colors. For example, each edge can be colored blue, red, or green. (This is just a toy example.)
I recently found these two works that focus on CD for edge-labeled graphs.
Hi,
I am working with a graph that has both node attributes (numerical) and edge labels (categorical, string-like). I checked the community detection algorithms listed in
https://cdlib.readthedocs.io/en/latest/reference/cd_algorithms/node_clustering.html,
and saw that
eva
andilouvain
algorithms are capable of handling node attributes. However, from the descriptions, I am not finding an algorithm that can handle edge-labeled graphs.Is there any CD algorithm implemented in cdlib that can handle both labeled-edge and node attributes?
The text was updated successfully, but these errors were encountered: