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PC-LossGNN: A Physics-Consistent Spatiotemporal Graph Neural Network for Line Loss Anomaly Classification.

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Title: PC-LossGNN: A Physics-Consistent Spatiotemporal Graph Neural Network for Line Loss Anomaly Classification.
Authors: Zhu, Xiaojing1 (AUTHOR), Huang, Li1,2 (AUTHOR), Zhou, Gan1 (AUTHOR) zhougan2002@seu.edu.cn, Yang, Junyang2 (AUTHOR), Duan, Chengge2 (AUTHOR)
Source: Symmetry (20738994). Jun2026, Vol. 18 Issue 6, p1052. 26p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Symmetry+%2820738994%29%22">Symmetry (20738994)</searchLink>. Jun2026, Vol. 18 Issue 6, p1052. 26p.
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        Value: 10.3390/sym18061052
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              Text: Jun2026
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