UV-Net: Learning from Boundary Representations #3
Description
Paper
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Paper: UV-Net: Learning from Boundary Representations
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Author: Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D.D. Willis, Thomas Davies, Hooman Shayani, Nigel Morris
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Link: Paper Link
Representation
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Link: UV-Net
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Reviewer : @JadeKim042386
SolidLetters Dataset Example
{'graph': Graph(num_nodes=32, num_edges=206,
ndata_schemes={'x': Scheme(shape=(10, 10, 7), dtype=torch.float32)}
edata_schemes={'x': Scheme(shape=(10, 6), dtype=torch.float32)}), 'filename': 'a_ABeeZee_lower', 'label': tensor([0])}
{'graph': Graph(num_nodes=44, num_edges=250,
ndata_schemes={'x': Scheme(shape=(10, 10, 7), dtype=torch.float32)}
edata_schemes={'x': Scheme(shape=(10, 6), dtype=torch.float32)}), 'filename': 'a_Abhaya Libre Medium_upper', 'label': tensor([0])}
- num_nodes: node 갯수
- num_edges: edge 갯수
- ndata: num_nodes x ndata_schemes의 shape(e.g. 10 x 10 x 7)을 가지는 tensor
- edata: num_edges x edata_schemes의 shape(e.g. 10 x 6)을 가지는 tensor