goose315 / graph_pooling_benchmark Goto Github PK

Hi,

First of all, thank you and your team for the amazing work of benchmarking many pooling methods, including KMISPool.

I'm Francesco, an author of the KMIS-pooling method that you included in your paper. I was wandering, why did you set k=5 on all experiments? I believe this will make KMISPool underperform on all datasets, since it basically assumes that every graph has diameter > 5, which is a strong assumption for the datasets you took in considerations (that have only small-sized graphs). This setting will probably produce a single cluster for every graph, making it a de-facto global pooling instead of a hierarchical one. In my AAAI experiments the grid-search always returned k=1 among a space of {1, 2, 3}. Setting k=5 is like using a pooling on images with pooling size 6x6... it's a huge value.

Another question: KMISPooling does not allow the selection of a pooling ratio such as TopK. So, how did you manage to fix it in the experiments in the appendix (Tables 10,11,12,13)?

Thank you so much!

Bests,
Francesco