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Predict multi-type drug-drug interactions in cold start scenario.

, , , , and . BMC Bioinform., 23 (1): 75 (2022)

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Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction., , , , , , , , , and 2 other author(s). CoRR, (2023)Drug-drug interaction prediction with learnable size-adaptive molecular substructures., , , and . Briefings Bioinform., (2022)Predicting combinative drug pairs via multiple classifier system with positive samples only., , , , , , and . Comput. Methods Programs Biomed., (2019)GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction., , , , , and . BIBM, page 408-411. IEEE, (2023)Predict multi-type drug-drug interactions in cold start scenario., , , , and . BMC Bioinform., 23 (1): 75 (2022)Local Phase Quantization Texture Descriptor for Protein Classification., , , and . BIOCOMP, page 159-165. CSREA Press, (2010)Interpretable prediction of drug-cell line response by triple matrix factorization., , , and . Quant. Biol., 9 (4): 426-439 (December 2021)A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions., , , , , and . Briefings Bioinform., (January 2023)The need of accelerators in analyzing biological networks.. BIBM, page 1436. IEEE Computer Society, (2016)DPDDI: a deep predictor for drug-drug interactions., , and . BMC Bioinform., 21 (1): 419 (2020)