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Graph neural networks are a class of neural networks which are designed to operate on graph structured data. They typically make use of graph convolution layers, a generalization of the usual "lattice" convolutions used in CNNs.

4 votes
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Can you predict a totally unconnected datapoint with a Graph Neural Net model

Let's say I am building and training a model based on Graph Neural Net to detect bot accounts in the Social Network Graph. I have a graph dataset that I will be using to train, validate and test the m …
Kartikeya Sharma's user avatar