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An efficient approach of graph isomorphism identification using loop theory and hopfield neural networks.

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Title: An efficient approach of graph isomorphism identification using loop theory and hopfield neural networks.
Authors: Wang, Hongbin1, Long, An1, Yu, Luchuan1, lcyu@wzu.edu.cn, Zhou, Hongming1, zhm69314@163.com
Source: Multimedia Tools & Applications; Mar2024, Vol. 83 Issue 8, p22545-22566, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: An efficient approach of graph isomorphism identification using loop theory and hopfield neural networks.
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      – Type: doi
        Value: 10.1007/s11042-023-16410-w
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 22545
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      – TitleFull: An efficient approach of graph isomorphism identification using loop theory and hopfield neural networks.
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            NameFull: Wang, Hongbin
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            NameFull: Long, An
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            NameFull: Yu, Luchuan
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              Text: Mar2024
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              Y: 2024
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