gca-rom
gca-rom copied to clipboard

→

GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.

Results 2 gca-rom issues

Sort by recently updated

I have read the code but found no pooling operation applied. Are you going to upload the pooling version code?

Implement the option to use GBM and provide an easy example tutorial notebook.

GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.

pytorch

machine-learning

deep-learning

neural-networks

graph-neural-networks

torch-geometric

model-order-reduction

parametric-pdes

Stars

Forks

Watchers

Stars

Forks

Watchers

GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.