Network vulnerability situation prediction based on spatio-temporal graph convolution

ZHANG Yingchun; LI Jin; ABDUREYIM Raxidin; ZHANG Xun; HAO Mengmeng; JIANG Dong

doi:10.3981/j.issn.1000-7857.2023.13.006

ZHANG Yingchun, LI Jin, ABDUREYIM Raxidin, ZHANG Xun, HAO Mengmeng, JIANG Dong

Science & Technology Review ›› 2023, Vol. 41 ›› Issue (13) : 60-66.

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Science & Technology Review ›› 2023, Vol. 41 ›› Issue (13) : 60-66. DOI: 10.3981/j.issn.1000-7857.2023.13.006

Exclusive: Theory and Application of Cyberspace Geography

Network vulnerability situation prediction based on spatio-temporal graph convolution

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2023, 41(13): 60-66 https://doi.org/10.3981/j.issn.1000-7857.2023.13.006

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