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March 2, 2024Scientific ReportsOpen Access

Prediction of lncRNA and disease associations based on residual graph convolutional networks with attention mechanism

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Authors

SWSheng‐Chang WangJQJiaqing QiaoSFShou Feng

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Cite This Study

Wang et al. (2024) studied this question.

synapsesocial.com/papers/68e76029b6db6435876d6518https://doi.org/10.1038/s41598-024-55957-y
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Also Consider

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

  1. 1Different Graph-level Attention Based On Multi-scale For Predicting lncRNA-Disease Associations2026
  2. 2Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs2024 · 6 citations
  3. 3MACGA: Multi-scale Adaptive Convolution with Graph Attention for LncRNA–Disease Association Prediction2025
  4. 4Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction2024
  5. 5RDGAN: Prediction of circRNA-Disease Associations Via Resistance Distance and Graph Attention Network2024 · 4 citations