AttributeError: 'SparseTensor' object has no attribute 'sample_adj'

[rd27995]

When CONV =GIN and MINIBATCH =NeighborSampler, I get the following error message (using torch 1.4.0 and CUDA 10.1, torch-sparse=0.6.1)

Can you please suggest if there's anything I am missing here? Thanks in advance for your help!

[wentinghome]

When CONV =GIN and MINIBATCH =NeighborSampler, I get the following error message (using torch 1.4.0 and CUDA 10.1, torch-sparse=0.6.1)

Can you please suggest if there's anything I am missing here? Thanks in advance for your help!

I find solution from this discussion .

[youngfish42]

I find new solution to this probleim

pyg-team/pytorch_geometric#1770 (comment)

You should update your torch-sparse >=0.6.4

just pip install torch-sparse==0.6.4

[mfernezir]

A comment for anybody else checking this in 2023. After running pip install torch-sparse==0.64, there's still a failure when the code internally runs

from torch_sparse import SparseTensor

pyg-team/pytorch_geometric#1770 (comment) mentions additional manual hacks to get 0.6.4 working with PyTorch 1.4.0. That version of PyTorch only support 0.6.1 out of the box.

The core issue is mentioned in this comment by the repo author. GIN embeddings were done with a different PyTorch Geometric version, with code refactoring later on.