RainZ11

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If unlabeled samples are not involved in the training process, wouldn't it mean that we cannot effectively utilize unlabeled samples, and would it have an impact on the results?

Consider an example: in the Cora dataset, with a compression rate of 0.1, the dimension of the adjacency matrix is 14. Does this represent 10% of the training nodes rather...