Comments (1)
If you don't remove the positive link, the GNN model has already known there is a positive link there thus makes trivial predictions. Think about when you test, there are not any links between the target nodes to predict. You have to predict the link existence from the context subgraph, instead of directly telling the model that there is a link.
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Related Issues (20)
- 关于点信息矩阵X三部分:点结构标签、点嵌入、点属性 问题 HOT 3
- 关于论文中对比实验ENS的问题 HOT 2
- System crash during subgraph extraction step HOT 2
- 是否可以拓展到有向图的比较? HOT 2
- about the row_data and .mat files HOT 1
- sampling negative links HOT 2
- 关于模型预测值 HOT 2
- Training on really large graphs HOT 2
- Questions about the contents in txt and mat files. HOT 4
- Error when trying to run my own datasets HOT 6
- Scores besides acc and auc HOT 3
- Command line argument for running facebook dataset HOT 2
- __init__() got an unexpected keyword argument 'size' HOT 1
- Access the nodes and edges from the subgraph HOT 2
- About node labeling HOT 1
- Bug during trying on a large graph HOT 1
- Node with same index HOT 4
- OSError: [Winerror 193] %1 is not an effective win32 application. HOT 2
- NameError: name 'cmd_args' is not defined
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