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PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

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Hi, thank you for your wonderful opensouce works about Quiver. Recently I was trying to look deep into the sampler module, but met a quite strange phenomenon. We can see...

- [x] Hybrid sampling support @eedalong #93 - [x] Distributed design and benchmark (240M) @eedalong @ZenoTan #108 - [x] Adaptive ~~computation~~ and data allocation #103 - [x] More Quiver examples...

When we use multiple gpus to do sampling with quiver in the mode of gpu sampling(graph stored in gpu memory), we found that the scalability is poor. To be specific,...

I install torch-quiver 0.1.0 from https://github.com/quiver-team/torch-quiver/blob/main/docker/README.md when i run examples/pyg/reddit_quiver.py, it shows AttributeError: module 'torch_quiver' has no attribute 'device_quiver_from_csr_array'

I installed branch 0.2.0 within a conda env: - python `3.9` - pytorch `1.12.1` - cuda `10.2`. As a sanity check, I can run `examples/reddit-quiver.py` and it works without any...

Hi, I found an error when using torch-quiver==0.1.1 and tried to run [example](https://github.com/quiver-team/torch-quiver/blob/main/examples/pyg/reddit_quiver.py). The error is ``` Traceback (most recent call last): File "reddit_quiver.py", line 29, in quiver_sampler = quiver.pyg.GraphSageSampler(csr_topo,...

If we directly run `docker build -t "custom image name"` , it would show `ERROR: Directory '.' is not installable. Neither 'setup.py' nor 'pyproject.toml' found`