Graph neural networks shape propagation differently, large comparison study finds
A controlled comparison of ten graph neural network architectures finds that PNA, GAT, GCN, and EvolveGCN produce embedding spaces associated ...
Tag: GCN
New Node Embeddings Bring Multiscale EDN Into De Bruijn Graph Learning
Researchers have introduced cMSEDN, a deterministic method that turns multiscale EDN sequence representations into sequence-specific node embeddings for De Bruijn ...
