When reproducing your work, I came across a bug:
RuntimeError: scatter_mean() expected at most 5 argument(s) but received 6 argument(s)
I've fixed this and am writing this issue in case someone else come across the same bug.
Reason:
I found out this is caused by incompatible versions of PyG & torch_scatter.
Since you are using Pytorch 1.6.0, the only compatible versions of torch_scatter are 2.0.5 & 2.0.6 according to https://data.pyg.org/whl/, yet neither of these versions is compatible with PyG 1.3.0. To be specific, when using torchscatter, PyG 1.3.0 calls function scatter...(mean/add/...) with 6 arguments. However, in torch_scatter 2.0.5/2.0.6 the corresponding function is defined only with 5 arguments.
Solution:
(1) Using earlier versions of torch_scatter( and earlier versions of Pytorch since they depend on each other) or
(2) using later versions of PyG
will work. I change my PyG to 1.4.1 and the problem is fixed.
Hi.
When reproducing your work, I came across a bug:
RuntimeError: scatter_mean() expected at most 5 argument(s) but received 6 argument(s)I've fixed this and am writing this issue in case someone else come across the same bug.Reason:
I found out this is caused by incompatible versions of PyG & torch_scatter. Since you are using Pytorch 1.6.0, the only compatible versions of torch_scatter are 2.0.5 & 2.0.6 according to https://data.pyg.org/whl/, yet neither of these versions is compatible with PyG 1.3.0. To be specific, when using torchscatter, PyG 1.3.0 calls function scatter...(mean/add/...) with 6 arguments. However, in torch_scatter 2.0.5/2.0.6 the corresponding function is defined only with 5 arguments.
Solution:
(1) Using earlier versions of torch_scatter( and earlier versions of Pytorch since they depend on each other) or (2) using later versions of PyG will work. I change my PyG to 1.4.1 and the problem is fixed.
Thanks for the great work!