69f5869f3b6d190ed99e156a932634393ab361dd,python/dgl/nn/pytorch/conv/edgeconv.py,EdgeConv,__init__,#EdgeConv#Any#Any#Any#,30
Before Change
self.phi = nn.Linear(in_feat, out_feat)
if batch_norm:
self.bn = nn.BatchNorm1d(out_feat)
def message(self, edges):
The message computation function.
After Change
tensor([[ 1.6375, 0.2085],
[-1.1925, -1.2852],
[ 0.2101, 1.3466],
[ 0.2342, -0.9868]], grad_fn=<CopyReduceBackward>)
def __init__(self,
in_feat,
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: dmlc/dgl
Commit Name: 69f5869f3b6d190ed99e156a932634393ab361dd
Time: 2020-08-12
Author: xiaotj1990327@gmail.com
File Name: python/dgl/nn/pytorch/conv/edgeconv.py
Class Name: EdgeConv
Method Name: __init__
Project Name: mariogeiger/se3cnn
Commit Name: 675550f7a7a592076efd65dcd40698407d7f779e
Time: 2017-08-17
Author: geiger.mario@gmail.com
File Name: experiments/toy_shapenet/c11.py
Class Name: CNN
Method Name: __init__
Project Name: jonas-koehler/s2cnn
Commit Name: 12838298851dcb68064cf6eaccd6a9dd44ae76c7
Time: 2018-04-04
Author: geiger.mario@gmail.com
File Name: examples/shrec17/model.py
Class Name: Model
Method Name: __init__