请问主题节点和文档节点之间的边权重是怎么构建的呢？

[LittleStar-Angel]

No description provided.

[abhinab303]

Are you taking about edge feature? I don't think edge features are used here.

[LittleStar-Angel]

但图卷积里面需要节点特征矩阵和边权重矩阵呀？代码里有词-词边权重计算，文档-词边权重计算，没有找到主题节点和文档节点边权重，只有一个LDA和最相关主题

[abhinab303]

by edge features, do you mean "similarity score" for entity-entity edge and "rho", "link probability" for entity-document edge? If yes, then they are only used to check if there is edge between the nodes or not.
If sim < 0.5 or lp <= 0.75 or rho <= 0.3: edge = False else: edge = True
from build_data.py (around line 150) :

For document-topic edge, its something like:
edge = True if topic in document else False
from build_data.py (around line 135):

so I think there is no edge features involved. Only 0 and 1.

[LittleStar-Angel]

、
是的，我也是看的这里，感觉很疑惑，难道不需要文档-主题边的权重值么？仅用0和1来表示么

[LittleStar-Angel]

就是类似"similarity score" for entity-entity edge and "rho", "link probability" for entity-document edge这样，这里肯定不是0和1 吧

[abhinab303]

I mean 0 and 1 for entity-entity and entity-document too.
We can know this for sure by looking at the output files. Only the o/p files are used by model later. The main files are:
1: dataset.cites,
2: dataset.content.entity
3: dataset.content.text
4: dataset.content.topic

2,3,4 contains node features which has nothing to do with entity feature.
1 contains edge in terms of node pairs. So, if a pair exists, then there is edge, else there isn't. So there is no information about edge features.

[abhinab303]

I made a flow chart, this might also be useful. Please let me know if there are any errors.