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ISLMI: Predicting lncRNA-miRNA Interactions Based on Information Injection and Second-Order Graph Convolution Network.

, , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (3): 1737-1745 (2023)

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A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction., , , , , and . BIBM, page 67-71. IEEE, (2020)Constructing discriminative feature space for LncRNA-protein interaction based on deep autoencoder and marginal fisher analysis., , , , and . Comput. Biol. Medicine, (May 2023)Recognizing spontaneous micro-expression from eye region., , , , and . Neurocomputing, (2016)MLPA: Detecting overlapping communities by multi-label propagation approach., , , , and . IEEE Congress on Evolutionary Computation, page 681-688. IEEE, (2013)CPL: Detecting Protein Complexes by Propagating Labels on Protein-Protein Interaction Network., , , , and . J. Comput. Sci. Technol., 29 (6): 1083-1093 (2014)ISLMI: Predicting lncRNA-miRNA Interactions Based on Information Injection and Second-Order Graph Convolution Network., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (3): 1737-1745 (2023)GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs., , , , and . Briefings Bioinform., (2022)MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms., , , , , and . Briefings Bioinform., (2022)Predicting RBP Binding Sites of RNA With High-Order Encoding Features and CNN-BLSTM Hybrid Model., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (4): 2409-2419 (2022)Predicting miRNA-disease associations using an ensemble learning framework with resampling method., , , , , and . Briefings Bioinform., (2022)