search

HKUST-KnowComp / MNE

Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
75 stars 25 forks source link

Error with big multiplex network #19

Closed LPioL closed 5 years ago

LPioL commented 5 years ago

Hi, I applied your method on bigger network like for example Drosophila_Multiplex_Genetic, 7 layers Multiplex, Nodes: 8215, Edges: 43366, from https://comunelab.fbk.eu/data.php.

I have this error with your parameters: ValueError: Input contains NaN, infinity or a value too large for dtype('float32').

I reduced the iter parameter to 10 but it is still the same. Any idea ?

Best.

panda0881 commented 5 years ago

Hi,

This is probably because your network is very dense. One thing you can try is decreasing the parameter r, which is the `limitation' in l.243 of MNE.py

Best Regards, Hongming