Studies in the Area of Neural Networks and Learning Systems Reported from Hebei University of Technology (Analyzing Heterogeneous Networks With Missing Attributes By Unsupervised Contrastive Learning)

摘要

By a News Reporter-Staff News Editor at Network Daily News – A new study on Networks - Neural Networks and Learning Systems is now available. According to news reporting originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Heterogeneous information networks (HINs) are potent models of complex systems. In practice, many nodes in an HIN have their attributes unspecified, resulting in significant performance degradation for supervised and unsupervised representation learning.”