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描述这个 bug BiTGCF模型中包含Feature Transfer部分,其中在公式(15)-(16)计算user(item)-related weight factor时,需要考虑多跳后可能出现某些节点的邻居为0,即公式(15)中分母可能为0的情况,则会导致模型训练中出现“nan”。报错如下:
预期 为了避免“除0”问题,针对项目代码中的user_laplace和item_laplace,即分母,添加一个极小数以避免出现“除0”问题。
屏幕截图
The text was updated successfully, but these errors were encountered:
@WYH-han 感谢您的提醒,我们已经在 #56 中修复了这个问题!
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描述这个 bug
![image](https://user-images.githubusercontent.com/35283868/231623981-55217f69-0eaa-4b38-849e-da5280697283.png)
![image](https://user-images.githubusercontent.com/35283868/231624005-83f1eec2-ce5e-4233-8edf-abef3623576f.png)
BiTGCF模型中包含Feature Transfer部分,其中在公式(15)-(16)计算user(item)-related weight factor时,需要考虑多跳后可能出现某些节点的邻居为0,即公式(15)中分母可能为0的情况,则会导致模型训练中出现“nan”。报错如下:
预期
![image](https://user-images.githubusercontent.com/35283868/231623440-b7149f99-3c6b-4885-b115-8b08cdd901f5.png)
为了避免“除0”问题,针对项目代码中的user_laplace和item_laplace,即分母,添加一个极小数以避免出现“除0”问题。
屏幕截图
![image](https://user-images.githubusercontent.com/35283868/231622643-24e5e769-d799-4769-9c6a-aa4b21ad4795.png)
The text was updated successfully, but these errors were encountered: