Comments (2)
我想知道LLP模型中用于链接预测的输入是由GNN聚合的节点向量表示吗?即LLP模型的encode也是GNN吗?
I wonder if the input used for link prediction in the LLP model is represented by the node vector aggregated by GNN? Is encode for LLP models GNN?
from linkless-link-prediction.
您好,感谢您精彩的工作! 请问在train_teacher_gnn.py中超参数batch_size设置的依据是什么呀?是根据不同数据集设置的吗?为什么要设置成64*1024呢?以及在main.py中link_batch_size设置! 期待您的回复,万分感谢!
感谢您对我们文章的兴趣。这个batch_size我们是follow OGB的repo设置的。
我想知道LLP模型中用于链接预测的输入是由GNN聚合的节点向量表示吗?即LLP模型的encode也是GNN吗?
I wonder if the input used for link prediction in the LLP model is represented by the node vector aggregated by GNN? Is encode for LLP models GNN?
感谢您对我们文章的兴趣。LLP的模型的训练过程,是用一个teacher GNN去训练student MLP,最终inference阶段只使用student MLP作为encoder。因此在LLP模型中,inference阶段链接预测的输入是student MLP学习到的节点向量,这里的encoder使用的是我们模型训练的student MLP。
from linkless-link-prediction.
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from linkless-link-prediction.