Matthias Fey
Matthias Fey
``` X @ W_1 + D^{-1} A X W_2 ```
We do not have support for biased/weighted sampling of random walks yet, I am sorry.
There is an open PR for this out, see https://github.com/rusty1s/pytorch_cluster/pull/140. Maybe you can check it out to see if it fits your need.
Can you paste installation log? Looks like installation may have failed.
The current `HeteroData` object format is not compatible with GNNAutoScale. If you want to process heterogeneous graphs with GNNAutoScale, you currently would need to concatenate feature matrices of different type...
Thanks for reporting. What does ```python import torch import torch_geometric_autoscale relabel_fn = torch.ops.torch_geometric_autoscale.relabel_one_hop rowptr = torch.tensor([0, 2, 3]) col = torch.tensor([0, 1, 0]) value = torch.tensor([0, 1, 2]) n_id =...
Can you show me the installation log when running `python setup.py install`? Looks like something went wrong during installation.
I would say that is expected. Although you fix the random seed, sampling is performed differently for `disjoint=True/False`. You can see that the same number of nodes are sampled if...
What do you mean by "more consistent"?
Thanks. I don't necessarily think this is a problem, but I will try to find some time to look into why this is the case.