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May 2, 2024Open Access

Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction

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Authors

JLJin‐Xing LiuWXWenyu XiLDLing-Yun Dai

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Cite This Study

Liu et al. (2024) studied this question.

synapsesocial.com/papers/68e6beabb6db64358763f01chttps://doi.org/10.48550/arxiv.2405.02354
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Also Consider

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

  1. 1Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs2024 · 8 citations
  2. 2LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network2024
  3. 3Different Graph-level Attention Based On Multi-scale For Predicting lncRNA-Disease Associations2026
  4. 4iGATTLDA: Integrative graph attention and transformer‐based model for predicting lncRNA‐Disease associations2024 · 1 citations
  5. 5HiGLDP: a hierarchical graph neural network for predicting lncRNA-disease associations through multi-omic integration2026 · 11 citations