Before revision:  Moreover, because graphlets can deal only with unweighted PSNs, and because accounting for edge weights when constructing PSNs could improve PSC accuracy, we also propose a deep learning framework that automatically learns network features from the weighted PSNs. When evaluated on a large set of  9, 509 CATH and 11,451 SCOP protein domains  , our proposed approaches are superior to existing PSC approaches in terms of both accuracyand running time.
After revision:  Moreover, because graphlets can deal only with unweighted PSNs, and because accounting for edge weights when constructing PSNs could improve PSC accuracy, we also propose a deep learning framework that automatically learns network features from the weighted PSNs. When evaluated on a large set of 9, 509 CATH and 11,451 SCOP protein domains (spanning 36 PSN sets) , our proposed approaches are superior to existing PSC approaches in terms of both accuracyand running time.