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您好,有个问题想向您请教下。
对于超图的监督学习,当采用二值化交叉熵损失函数,负样本空间中的组合情况特别多,这时负的超边该如何采样呢?
谢谢!
The text was updated successfully, but these errors were encountered:
请问,您的任务是要做超边的链路预测吗?
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@yifanfeng97 嗯嗯,是的,想对超边进行预测,而且正边的样本是稀疏的,可以怎么处理呢?
@yw155 确实,超边可以连接超过两个点,有更高的建模自由度,但是也整个预测空间也指数级增长。我建议加一些约束,最简单就是只预测三个点的超边,或者你把正样本的超边中一个点替换成随机其他点,来构造负样本试试。
好的,谢谢回复!
zhangxwww
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您好,有个问题想向您请教下。
对于超图的监督学习,当采用二值化交叉熵损失函数,负样本空间中的组合情况特别多,这时负的超边该如何采样呢?
谢谢!
The text was updated successfully, but these errors were encountered: