arXiv cs.LG
· Papers
SEAGAN: domain-Specific and Edge-Aware Graph Attention Network for Dynamic Plant Processes
arXiv:2606.19623v2 Announce Type: replace Abstract: Graph neural networks (GNNs) offer a flexible framework for learning from scientific data with physical, biological, or functional associations. One promising domain is plant physiology, where observed responses result from several interacting processes that are diffi