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My guess is that link prediction loss encourages nearby nodes to have links between them by encouraging their embeddings to be similar. On the other hand, the pooling layers use softmax for assigning nodes to clusters => similar embeddings are assigned to similar clusters. Then, link prediciton loss encourages nearby nodes to be pooled together.
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phucdoitoan commentedon Jan 20, 2021
My guess is that link prediction loss encourages nearby nodes to have links between them by encouraging their embeddings to be similar. On the other hand, the pooling layers use softmax for assigning nodes to clusters => similar embeddings are assigned to similar clusters. Then, link prediciton loss encourages nearby nodes to be pooled together.