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Original question: How to solve the problem of over-smoothing in graph neural network (gnn) training? That is, during the training process of graph neural network, as the number of network layers and the number of iterations increase, the hidden layer representation of each node will tend to converge to the same value (i.e., empty. They decide to take mark on a ride. Zhihu, a high-quality Q&A community on the Chinese Internet and an original content platform where creators gather, was officially launched in January 2011 with the brand mission of "allowing people to better share knowledge, experience and insights, and find their own answers." Zhihu relies on seriousness and professionalism.
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❓ Frequently Asked Questions
What is A Deeper Dive Into Ratatouilles Brother The Unsung Hero Wht's?
Original question: How to solve the problem of over-smoothing in graph neural network (gnn) training? That is, during the training process of graph neural netwo
Why is this topic important?
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