Comments (2)
Hi, the attribute information we used is not adjacent matrix. We use node features as input.
Since we are embedding attributed information network, in this setting, nodes are associated with features, i.e., bag-of-words features in citation networks or age, gender, education information in social networks.
For plain information network, the node features is not available. Actually, you can treat adjacent matrix as nodes features. Our model is still applicable in this scenario.
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thank you very much
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Related Issues (11)
- 关于pubmed数据集 HOT 2
- 该模型可以用于异构图吗? HOT 2
- error in the code for weighted graph HOT 1
- 数据集格式转化代码问题 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
- 关于代码和论文 HOT 2
- How to apply ANRL to Pubmed dataset? HOT 3
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