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Benchmarking Graph Neural Networks for Multi-Omics Cancer Subtyping using Methylation and Gene Expression Profiles

2026-08-25

Abstract excerpt

Motivation: Graph Neural Networks (GNNs) have gained increasing interest in the biomedical domain, as the integration of prior knowledge and deep neural networks has the potential to enhance insights into molecular processes and disease mechanisms. However, a comprehensive and systematic assessment of model architectures, data modalities, graph structures, and their performance for graph signal classification in t...

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Literature Corpus work: 9cb43362-c62a-538d-98ec-dd2fcd664752
DOI: 10.64898/2026.08.21.745839

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