Comments (1)
根据我们后续的实验,多数数据集上不加入第0层效果会好,少部分加入与不加入变化不大。暂时还没发现不加入变差的情况。不加入的原因是因为我们发现对比学习对于单纯的BPR-MF并无提升,所以将第0层移除了。另外,在gowalla上似乎对比学习提升的量没有那么大,不论是SGL还是SimGCL都是如此,暂时还没有具体分析。
另外,在https://github.com/Coder-Yu/SELFRec 这个库里面有我的pytorch实现,你可以参考一下。
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Related Issues (20)
- MemoryError for motif matirx in MHCN. HOT 1
- RSGAN中负样本生成的问题 HOT 1
- 使用GPU HOT 2
- K重交叉验证每一次结果不一样 HOT 2
- About socialmf_tf HOT 2
- DHCF模型 HOT 2
- Problem HOT 1
- NDCG计算 HOT 1
- 数据集问题 HOT 1
- 关于MHCN的性能问题 HOT 1
- 关于ESRF的问题请教 HOT 6
- Visual image rendering HOT 2
- Performance comparison over different item groups HOT 3
- yelp数据集的疑问 HOT 1
- 用相同的数据集训练,设置相同的种子,相同的参数。MHCN在QRec上的表现明显优于SELFRec是什么原因啊 HOT 5
- 关于ESRF代码如何提取出 alternative neighborhood HOT 3
- KeyError: 1 HOT 8
- 更改训练集和测试集 HOT 4
- 有关新模型训练 HOT 1
- 如何配置evaluation.setup下的-predict参数 HOT 2
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