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
Medical Graph Diffusion: Hybrid Graph Diffusion With Heterogeneous Graph Convolutional Networks for Medical Text Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2025.3576247
Abstract: Text classification is a critical task for understanding the knowledge behind text, especially in medical text. In this paper, we propose a medical graph diffusion model, named the MGD model, for the medical text classification… read more here.
Keywords: text classification; diffusion; medical text; graph diffusion ... 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
Synergistic Attention-Guided Cascaded Graph Diffusion Model for Complementarity Determining Region Synthesis
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3477248
Abstract: Complementarity determining region (CDR) is a specific region in antibody molecules that binds to antigens, where a small portion of residues undergoes particularly pronounced variations. Generating CDRs with high affinity and specificity is a pivotal… read more here.
Keywords: synergistic attention; diffusion model; graph; region ... See more keywords