Comments (10)
我现在国外,没法使用我在学校的服务器。预处理的话,user_embedding和bussiness_embedding本身是属于两个空间,HERec生成的embedding的效果没有试验过。HIN2vec应该是一种比较好的能够生成所有节点embedding的方式,metapath2vec的话一条元路径估计无法生成所有节点的embedding,不过你可以混合多条元路径来生成所有节点的表示
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您好,想请问一下关于Yelp数据集的预处理,希望您方便的时候公开一下这部分的代码
如何生成User_embedding, Item_embedding, Cate_embedding, City_embedding,
看到您在别的回答里面提到用Metapath2Vec, HIN2vec,以及HERec中的处理方式得到embedding
我首先试图尝试HERec中的处理方法,发现一个问题
通过UBU UBCaBU等MetaPath得到, UU的邻接矩阵,通过DeepWalk得到user_embedding
通过BCaB, BUB等MetaPath得到, BB的邻接矩阵,通过DeepWalk得到bussiness_embedding
然而这两个embedding是不同空间的,彼此也没有约束
在您现在MCRec的代码里,直接用user_embedding和bussiness_embedding来计算sim是由问题的,请问用HERec中的方法生成embedding是否合适?
另外非常迫切希望您能公布一下Yelp预处理的代码,以及模型运行的代码。
我们也在做HIN中的Link Prediction的工作,希望能够引用您的论文。如果您能提供处理Yelp的代码的话,应该会比我们复现有着更好的精度和效果
请问您现在有yelp的处理代码吗?
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@wangchunhala 您好, 我也有同样的问题,请问这个问题已经解决了吗?谢谢🙏
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@xuChenSJTU 您好,请问解决了嘛,这个问题。感谢。
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@xuChenSJTU 您好,请问解决了嘛,这个问题。感谢。
您好,请问您解决这个问题了吗,可以请教一下吗?
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@librahu any updates on the yelp processing code? I just need to know the mapping between the ids in your dataset and those in the original yelp dataset. Thanks.
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Related Issues (10)
- How to preproces the data HOT 2
- movielens数据集的用户、物品关系 HOT 3
- 关于测试protocol HOT 12
- Is there a batch implementation available?
- When I run your code some error has occured HOT 3
- Dataset files do not match the descriptions in README.md HOT 2
- 关于如何处理u-u和m-m的问题 HOT 1
- 麻烦你,我想问一下,论文4.4.1中,基于元路径上下文的注意力中,两层注意力分别表示什么意思啊?即公式(6)(7). HOT 5
- 数据集实验结果
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