Leveraging Graph Convolutional Networks for Semi-Supervised Learning in Multi-View Non-Graph Data

Information Science, Computer Science, Artificial Intelligence,
multi-view data   semi-supervised learning   graph estimation   consensus graph   graph convolutional networks  

Background Introduction In the field of machine learning, Semi-Supervised Learning (SSL) has garnered significant attention due to its ability to leverage a small amount of labeled data and a large amount of unlabeled data for learning. Particularly in scenarios where data labeling is costly, graph-based semi-supervised learning methods have become...

Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Imaging, Oncology, Life Sciences, Immunology,
immunotherapy   non-small cell lung cancer   graph convolutional networks   multi-view   radiomics  

Research Report on Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer: A Study of Multi-View Adaptive Weighted Graph Convolutional Networks Background Introduction Lung cancer is a highly prevalent and poorly prognostic malignant tumor with a persistently high mortality rate. Among all lung cancer patients, Non-Small Cell Lung Cancer ...