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Concept
Neighborhood Normalization
The most basic neighborhood aggregator takes a sum of a node’s neighbors. One drawback of this is that it’s highly sensitive to the node degrees. So there’s several ways of normalizing the aggregator.
Although it solves the degree sensitivity problem, it also caused loss of information. Indeed, it has been proven that an normalized GNN is less powerful than an not normalized GNN.
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Updated 2022-07-10
Tags
Deep Learning (in Machine learning)
Data Science