Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decoding

Ouahidi, Yassine El, Tessier, Hugo, Lioi, Giulia, Farrugia, Nicolas, Pasdeloup, Bastien, Gripon, Vincent

Open source

DOI
10.48550/arxiv.2203.04455
Published
2022
Container
Not recorded
Publisher
arXiv
Open access
yes

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.48550/arxiv.2203.04455,
  title = {Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decoding},
  author = {Ouahidi, Yassine El and Tessier, Hugo and Lioi, Giulia and Farrugia, Nicolas and Pasdeloup, Bastien and Gripon, Vincent},
  year = {2022},
  doi = {10.48550/arxiv.2203.04455},
  url = {https://doi.org/10.48550/arxiv.2203.04455}
}

RIS

TY  - JOUR
TI  - Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decoding
AU  - Ouahidi, Yassine El
AU  - Tessier, Hugo
AU  - Lioi, Giulia
AU  - Farrugia, Nicolas
AU  - Pasdeloup, Bastien
AU  - Gripon, Vincent
PY  - 2022
DO  - 10.48550/arxiv.2203.04455
UR  - https://doi.org/10.48550/arxiv.2203.04455
ER  -

APA

El, O. Y., Hugo, T., Giulia, L., Nicolas, F., Bastien, P., & Vincent, G. (2022). Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decoding. https://doi.org/10.48550/arxiv.2203.04455

Source records