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Structural controllability of unidirectional bipartite networks
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inferred← citeshttps://doi.org/10.1007/s41109-024-00647-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.automatica.2022.110229openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chaos.2017.08.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2021.107505openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.idm.2016.07.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2015.07.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2017.05.052openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1367-2630/aa574fopenalex-snapshot
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inferred← citeshttps://doi.org/10.1093/bioinformatics/btac360openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/comnet/cnu029openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2022/9308708openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s12859-015-0591-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s13213-020-01586-5openalex-snapshot
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inferred← citeshttps://doi.org/10.3182/20140824-6-za-1003.01923openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/fphys.2018.01046openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2005.13179openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2008.11223openalex-snapshot
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