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Jingyu Huang,Philip N. Nkrumah,Yi Li,Gloria Appiah-Sefahle a number of different approaches have been presented, a quantitative evaluation of those algorithms remains a challenging task: Manual generation of ground truth for real-world data is often time-consuming and error-prone, and while tools for generating synthetic datasets with corresponding groun启发 发表于 2025-3-22 06:08:55
Rinku Sharma,Tej K. Bhat,Om P. Sharmale a number of different approaches have been presented, a quantitative evaluation of those algorithms remains a challenging task: Manual generation of ground truth for real-world data is often time-consuming and error-prone, and while tools for generating synthetic datasets with corresponding grounemployor 发表于 2025-3-22 11:56:47
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Jingyu Huang,Philip N. Nkrumah,Yi Li,Gloria Appiah-Sefah require ground truth data. Moreover, available ground truth information can be incorporated to additionally evaluate the correctness of the graph extraction algorithm. We demonstrate the usefulness and applicability of our approach in an exemplary study on synthetic and real-world data.maudtin 发表于 2025-3-23 09:31:45
Rinku Sharma,Tej K. Bhat,Om P. Sharma require ground truth data. Moreover, available ground truth information can be incorporated to additionally evaluate the correctness of the graph extraction algorithm. We demonstrate the usefulness and applicability of our approach in an exemplary study on synthetic and real-world data.