Sequence Pre-training-based Graph Neural Network (SPGNN) is a novel graph-based pre-training scheme that offers a promising approach to discover associations between lncRNAs and miRNAs. SPGNN utilizes a sequence-to-vector technique to generate pre-trained embeddings based on the sequences of all RNAs during the pre-training stage. In the fine-tuning stage, SPGNN uses Graph Neural Network to learn node representations from the heterogeneous graph constructed using lncRNA-miRNA association information. The source code of the proposed scheme is available on this Github repository.

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