Graph similarity rectification for person search
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.08.136
Abstract: Abstract In person search task, it is hard to retrieve the query persons undergoing large visual changes. To tackle this problem, we propose to exploit the context information to rectify the original individual similarity for… read more here.
Keywords: similarity; person; person search; graph similarity ... See more keywords
Application of deep metric learning to molecular graph similarity
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Cheminformatics"
DOI: 10.1186/s13321-022-00595-7
Abstract: Graph based methods are increasingly important in chemistry and drug discovery, with applications ranging from QSAR to molecular generation. Combining graph neural networks and deep metric learning concepts, we expose a framework for quantifying molecular… read more here.
Keywords: molecular graph; metric learning; graph; similarity ... See more keywords