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Official implementation of the paper "FedLSF: Federated Local Graph Learning via Specformers"

License: GNU General Public License v3.0

Python 100.00%
eigenvalues eigenvectors federated-learning graphneuralnetwork graphs multihead-attention spectral-gnns

fedlsf-dcoss's Introduction

FedLSF - Federated Local Graph Learning via Specformers

Instructions

Run python main.py

Datasets

  • Cora => --dataset="cora"
  • Citeseer => --dataset="citeseer"
  • Amazon Photo => --dataset="photo"
  • Chameleon => --dataset="chameleon"
  • Squirrel => --dataset="squirrel"

Non-IID concentration α

--alpha=<value>

Dropouts

--tran_dropout=<value> , --feat_dropout=<value>, --prop_dropout=<value>

Normalisations

  • LayerNorm => --norm="layer"

Number of Clients

--n_trainer=<value>

fedlsf-dcoss's People

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