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Network security threat identification based on GNN transformer fusion model in energy cyber systems

Yiyu Dai et al.

International Journal of Global Energy Issues2026https://doi.org/10.1504/ijgei.2026.10076525article
ABDC C
Weight
0.50

What the paper says

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https://doi.org/https://doi.org/10.1504/ijgei.2026.10076525

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@article{yiyu2026,
  title        = {{Network security threat identification based on GNN transformer fusion model in energy cyber systems}},
  author       = {Yiyu Dai et al.},
  journal      = {International Journal of Global Energy Issues},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijgei.2026.10076525},
}

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Network security threat identification based on GNN transformer fusion model in energy cyber systems

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.