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Deep Graph Networks for Drug Repurposing With Multi-Protein Targets.

, , , , , and . IEEE Trans. Emerg. Top. Comput., 12 (1): 177-189 (January 2024)

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Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs., , , and . Bioinform., (October 2023)Graph generation by sequential edge prediction., , and . ESANN, (2019)Biochemical Pathway Robustness Prediction with Graph Neural Networks., , , and . ESANN, page 121-126. (2020)Classification of Biochemical Pathway Robustness with Neural Networks for Graphs., , , and . BIOSTEC (Selected Papers), volume 1400 of Communications in Computer and Information Science, page 215-239. Springer, (2020)Deep Learning on Graphs with Applications to the Life Sciences.. University of Pisa, Italy, (2021)A fair comparison of graph neural networks for graph classification, , , and . arXiv preprint arXiv:1912.09893, (2019)A Deep Generative Model for Fragment-Based Molecule Generation., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2240-2250. PMLR, (2020)Deep Graph Networks for Drug Repurposing With Multi-Protein Targets., , , , , and . IEEE Trans. Emerg. Top. Comput., 12 (1): 177-189 (January 2024)Classifier-free graph diffusion for molecular property targeting., , and . CoRR, (2023)Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks., , , and . BIOINFORMATICS, page 32-43. SCITEPRESS, (2020)