Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1A Multisource Transformer-Guided Graph Representation Learning Framework for circRNA-Disease Association Prediction2025
2. 2RDGAN: Prediction of circRNA-Disease Associations Via Resistance Distance and Graph Attention Network2024 · 4 citations
3. 3Inferring circRNA–Disease Associations via Sparse Topological Representation Learning and Dual-View Decoding2026
4. 4LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features2024 · 19 citations
5. 5Prediction of circRNA-Disease Associations Based on Graph Isomorphism Networks and Graph Sampling Aggregation2025