GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108274
Abstract: Can one learn to diagnose COVID-19 under extreme minimal supervision? Since the outbreak of the novel COVID-19 there has been a rush for developing automatic techniques for expert-level disease identification on Chest X-ray data. In… read more here.
Keywords: graph diffusion; diffusion; chest; identifying covid ... See more keywords
A novel heterophilic graph diffusion convolutional network for identifying cancer driver genes.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad137
Abstract: Identifying cancer driver genes plays a curial role in the development of precision oncology and cancer therapeutics. Although a plethora of methods have been developed to tackle this problem, the complex cancer mechanisms and intricate… read more here.
Keywords: driver; graph diffusion; driver genes; identifying cancer ... See more keywords
Discriminative Regression With Adaptive Graph Diffusion.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3185408
Abstract: In this article, we propose a new linear regression (LR)-based multiclass classification method, called discriminative regression with adaptive graph diffusion (DRAGD). Different from existing graph embedding-based LR methods, DRAGD introduces a new graph learning and… read more here.
Keywords: regression adaptive; regression; discriminative regression; graph diffusion ... See more keywords