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I was wondering if you could please check this paragraph for me. If it is possible to give me some hints to make it better.
The graph convolutional network is composed of multiple consecutive graph convolutional layers which take the embeddings of triples (object, subject, predicate) as input. Each graph convolutional layer is a function that operates on a graph structure with arbitrary shape given feature vectors of shape Din as input and vectors with shape Dout as output for each node and edge. The output vectors of the triple are computed using a multilayer perceptron (MLP) that is fed with the three concatenated triple input vectors and processes the output using average pooling and fully connected layers.
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I've never seen the word 'graph' used as an adjective like this before, What does it mean here? Clive
- I've never seen the word 'graph' used as an adjective like this before, What does it mean here?
- Clive
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I've never seen the word 'graph' used as an adjective like this before, What does it mean here?
Clive
0"The graph convolutional network is composed of multiple consecutive graph convolutional layers, which take the embeddings of triples (object, subject, predicate) as input."
1. A comma before "which" would help (see above).
"Each graph convolutional layer is a function that operates on a graph structure with arbitrary shape, given feature vectors of shape Din as in
0
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