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View Code? Open in Web Editor NEWThis is the PyTorch Implementation for our model VRKG4Rec (WSDM'23)
This is the PyTorch Implementation for our model VRKG4Rec (WSDM'23)
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
请问有提供数据处理的代码吗
你好,请教一下对于其他模型的复现,如何使用本论文的评价指标呢,比如我想对比其他模型,该如何得到本论文相同的评价模型呢?发现有些不同模型即使评价指标相同最终结果也不一样
你好,我运行了仓库里的代码(没做改动),处理lastfm数据集,在metric@20 (%)的条件下,结果recall=0.0647,但论文里的recall是38.78,这可能是因为什么问题呢?
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
请问有处理数据集的代码或处理完成的数据集吗
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