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Hi, I'm wondering why you do tf.sqrt(tf.sparse_reduce_sum(tf.square(support), axis=0)) in the probabilties.
What's that mean after squaring the adj matrix then sqrt it?
Thank you!
The text was updated successfully, but these errors were encountered:
Hi, I'm wondering why you do
tf.sqrt(tf.sparse_reduce_sum(tf.square(support), axis=0))
in the probabilties.What's that mean after squaring the adj matrix then sqrt it?
Thank you!
The text was updated successfully, but these errors were encountered: