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Knowledge Graph Generator

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DataCite Commons2025-03-10 更新2025-04-17 收录
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/DARUS-4436
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<p>Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge graph that approximately matches the rules according to the body support and confidence.</p> <p>This code was developed during the Bachelor thesis by Gabriel Glaser, <em>Generating Random Knowledge Graphs from Rules</em>, University of Stuttgart, 2024. <a href="https://doi.org/10.18419/opus-15467">doi:10.18419/opus-15467</a>.</p>
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DaRUS
创建时间:
2024-07-30
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