Comments (2)
你好,
该模型是无监督的,学习节点表征的时候并没有用到节点的标签信息。
对于节点分类这样的有监督任务,先用该模型学习得到节点的表征,然后再利用标签信息和节点的表征训练有监督的分类器(例如SVM等)。对于链路预测也是同样的道理。一般来说,链路预测既可以采用有监督的方式(例如训练分类器判断两个节点之间是否有边)也可以采用无监督的方式(例如利用某种度量准则去判断两个节点之间是否有边)。
from anrl.
谢谢您!
from anrl.
Related Issues (11)
- Is the attribute matrix an adjacency matrix? HOT 2
- error in the code for weighted graph HOT 1
- Want more dataset HOT 6
- Can ANRL run the model with customized continuous attributes? HOT 13
- I have processed this model using same feature and different edgelist, having some problems for the result. HOT 8
- Input for Model Architecture HOT 4
- How to apply ANRL to Pubmed dataset? HOT 3
- 关于pubmed数据集 HOT 2
- 该模型可以用于异构图吗? HOT 2
- 数据集格式转化代码问题 HOT 1
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from anrl.