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Dear tkipf, I have a question in our current project, and I need your help.
For example, there is a human being consisted of six lines (a matchstick men), and I need to detect the head, hand and the joint. This matchstick men may have different pose, the length of arm and leg may be varied, or the arm/leg may be missed. I want to use the graph neural network to solve this problem. However, in my application, one matchstick men is a sample which is different from that in graph neural network. Is my understanding correct?
For this application, do you have any suggestion? Thank you for your time.
The text was updated successfully, but these errors were encountered:
Dear tkipf, I have a question in our current project, and I need your help.
For example, there is a human being consisted of six lines (a matchstick men), and I need to detect the head, hand and the joint. This matchstick men may have different pose, the length of arm and leg may be varied, or the arm/leg may be missed. I want to use the graph neural network to solve this problem. However, in my application, one matchstick men is a sample which is different from that in graph neural network. Is my understanding correct?
For this application, do you have any suggestion? Thank you for your time.
The text was updated successfully, but these errors were encountered: