Combined graph kernels for automatic patent classification: A hybrid approach
Sign Up to like & getrecommendations! Published in 2019 at "World Patent Information"
DOI: 10.1016/j.wpi.2019.03.002
Abstract: Abstract In this study, we proposed combined kernel-based methods to leverage patent citation graph performance for patent classification. The concept is to use the combined graph kernels of the citation graph to classify patent documents,… read more here.
Keywords: combined graph; patent classification; graph kernels; patent ... See more keywords
Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac527
Abstract: Long noncoding RNA (lncRNA) is a kind of noncoding RNA with a length of more than 200 nucleotide units. Numerous research studies have proven that although lncRNAs cannot be directly translated into proteins, lncRNAs still… read more here.
Keywords: combined graph; lncrnas proteins; auto encoder; graph auto ... See more keywords