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what is the element of model.reconstructions in model.py? #41
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These are logits -- you can get probability values / normalized scores by
passing these through a logistic sigmoid function.
…On Thu, Jul 4, 2019 at 9:59 AM yjyGo ***@***.***> wrote:
Sorry, but I can't understand at the line 114 in file model.py, what's the
element of self.reconstruction? probability value? But when I run the
program, I print the variable reconstructions, and get the result:
reconstruction [ 2.3758938 -0.10602921 0.103589 ... 0.8698976 3.3979175
3.6787224 ]
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I'm currently trying to use GAE to do graph representation learning, thus I need to extract node features with dimension nxd, with n number of nodes and d number of features. As far, as I can see, the node features would be in model.reconstructions However, I'm not able to get a vector of values like your example (@yjyGo).
Would you mind sharing your code chunk? |
@yjyGo got it:
|
Sorry, but I can't understand at the line 114 in file model.py, what's the element of self.reconstruction? probability value? But when I run the program, I print the variable reconstructions, and get the result:
reconstruction [ 2.3758938 -0.10602921 0.103589 ... 0.8698976 3.3979175
3.6787224 ]
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