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OpenDAS
torch-spline-conv
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70465ff9
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70465ff9
authored
Apr 12, 2018
by
Matthias Fey
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GitHub
Apr 12, 2018
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README.md
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70465ff9
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@@ -40,11 +40,16 @@ output = spline_conv(src, edge_index, pseudo, weight, kernel_size,
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@@ -40,11 +40,16 @@ output = spline_conv(src, edge_index, pseudo, weight, kernel_size,
Applies the spline-based convolutional operator
Applies the spline-based convolutional operator
<p
align=
"center"
>
<p
align=
"center"
>
<img
width=
"
2
5%"
src=
"https://user-images.githubusercontent.com/6945922/38684093-36d9c52e-3e6f-11e8-9021-db054223c6b9.png"
/>
<img
width=
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/>
</p>
</p>
over several node features of an input graph.
over several node features of an input graph.
The kernel function
*g*
is defined over the weighted B-spline tensor product basis, as shown below for different B-spline degrees.
The kernel function
*g*
is defined over the weighted B-spline tensor product basis, as shown below for different B-spline degrees.
<p
align=
"center"
>
<img
width=
"45%"
src=
"https://user-images.githubusercontent.com/6945922/38685443-3a2a0c68-3e72-11e8-8e13-9ce9ad8fe43e.png"
/>
<img
width=
"45%"
src=
"https://user-images.githubusercontent.com/6945922/38685459-42b2bcae-3e72-11e8-88cc-4b61e41dbd93.png"
/>
</p>
### Parameters
### Parameters
*
**src**
*(Tensor or Variable)*
- Input node features of shape
`(number_of_nodes x in_channels)`
*
**src**
*(Tensor or Variable)*
- Input node features of shape
`(number_of_nodes x in_channels)`
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