Jongmin Han1, Seokho Kang1

  • 1Department of Industrial Engineering, Sungkyunkwan University, 2066 Seobu-ro Jangan-gu, Suwon, 16419, Republic of Korea.

概括

这项研究引入了一种一致性调节图形神经网络 (CRGNN),以改进对小数据集的分子性质预测. 该方法通过确保增强分子图的视图对齐来提高图形神经网络 (GNN) 的性能,克服了传统数据增强的局限性.

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