iGATTLDA: Integrative graph attention and transformer‐based model for predicting lncRNA‐Disease associations

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

1. 1Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction2024
2. 2Different Graph-level Attention Based On Multi-scale For Predicting lncRNA-Disease Associations2026
3. 3Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs2024 · 8 citations
4. 4AMPGLDA: Predicting LncRNA-Disease Associations Based on Adaptive Meta-Path Generation and Multi-Layer Perceptron2024
5. 5MACGA: Multi-scale Adaptive Convolution with Graph Attention for LncRNA–Disease Association Prediction2025