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mbastian avatar mbastian commented on May 2, 2024

(by jrouquie)

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mbastian avatar mbastian commented on May 2, 2024

(by mathieu.bastian)
The bug is real but it's not exactly well described.

What YifanHU multilevel algorithm does is that it groups nodes in clusters to fasten layouting. As a result new meta-nodes are created during the process. These meta-nodes don't have any attributes and have default size 1 (tiny). When the algorithm finish it ungroups these meta-nodes and therefore meta-nodes are deleted.

With you dataset it appears that Yifan-Hu Multilevel doesn't finish well and leave meta-nodes. You can see that they remains by clicking on "Hierarchy". Instead of a unique Level, you have two levels.

I'll rename the bug accordingly.

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mbastian avatar mbastian commented on May 2, 2024

(by sebastien.heymann)
I'm pretty sure that the problem comes from self loops. The bug contains two issues:

  • meta nodes not removed
  • edges between normal nodes are missing

I fixed the second point in rev 2071.

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mbastian avatar mbastian commented on May 2, 2024

(by sebastien.heymann)
I'm pretty sure that the problem comes from self loops. The bug contains two issues:

  • meta nodes not removed
  • edges between normal nodes are missing

I fixed the second point in rev 2071.

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milani avatar milani commented on May 2, 2024

Two years and still open while labeled High?!

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mbastian avatar mbastian commented on May 2, 2024

Won't fix as the hierarchical graphs are being deprecated in the next version

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