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请问一下论文里复现SGL时,采用的是哪个代码以及参数设置。
The text was updated successfully, but these errors were encountered:
https://github.com/Coder-Yu/SELFRec
n_layer:2 lambda:[0.1, 0.2, 0.5] droprate:[0.2, 0.3, 0.4, 0.5] temp: [0.1, 0.2]
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在SELFRec框架下,SGL 参数设置-n_layer 2 -lambda 0.1 -droprate 0.1 -augtype 1 -temp 0.2 在Alibaba-ifashion数据集上可以跑到0.12的结果。为社么droprate没有选择0.1呢。
你好,当时凭经验从0.2开始搜参,也对比了SELFRec、RecBole和我们自己的SSLRec的SGL的结果,选取了指标上最高的SELFRec版本。我去试一下0.1的rate
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请问一下论文里复现SGL时,采用的是哪个代码以及参数设置。
The text was updated successfully, but these errors were encountered: