为了更好的负采样策略动态图的动态图表

Kuang Gao1, Chuang Liu1, Jia Wu2

  • 1School of Computer Science, Wuhan University, China.

概括

增强负采样 (ENS) 通过平衡样本难度来改善时间图神经网络 (TGNN) 进行动态图形链接预测. 这种方法提高了模型的概括性和对不断变化的网络数据的性能.

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