Open yuxuan-z19 opened 3 months ago
Inspired by AutoGL, an automated graph learning library focusing on HPO, I'd like to integrate graph transformers and other GNNs for conventional graph tasks.
After trying several AutoML frameworks, the multi-layer stack ensembling proposed in AutoGluon best suits my needs. Could anyone point a starting point for me to kick off while I'm digesting the design? Lots of thanks!
Inspired by AutoGL, an automated graph learning library focusing on HPO, I'd like to integrate graph transformers and other GNNs for conventional graph tasks.
After trying several AutoML frameworks, the multi-layer stack ensembling proposed in AutoGluon best suits my needs. Could anyone point a starting point for me to kick off while I'm digesting the design? Lots of thanks!
References