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你好,请问KGIN的实验是如何进行的,我采用了MCCLK论文中固定采样方式8:2分别生成训练集和测试集,我的随机数种子为2023,然后进行训练,其中epoch设置为1000,batch为1024,dim为64,lr为1e-4,test_batch 128这些参数我没有改动,在多轮训练中RKG4Rec在Recall@20中能到达接近30%多的性能,但KGIN我尝试多个参数,在100次的epoch的Recall@20中总是维持在10%-12%之间,甚至会出现性能下降,我很想知道如何进行基线的实验,非常感谢
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你好,请问KGIN的实验是如何进行的,我采用了MCCLK论文中固定采样方式8:2分别生成训练集和测试集,我的随机数种子为2023,然后进行训练,其中epoch设置为1000,batch为1024,dim为64,lr为1e-4,test_batch 128这些参数我没有改动,在多轮训练中RKG4Rec在Recall@20中能到达接近30%多的性能,但KGIN我尝试多个参数,在100次的epoch的Recall@20中总是维持在10%-12%之间,甚至会出现性能下降,我很想知道如何进行基线的实验,非常感谢
The text was updated successfully, but these errors were encountered: