Related Issues (20)
- Models in "5.2 Edge Classification/Regression" do not use edge features for edge classification tasks, or the tutorials is unclear about it HOT 2
- GraphBolt HOT 6
- [DistGB] upgrade torch to 2.0.0 in CI
- Question about the incompatibility of cuda12.1 version with cuda12.0 version on the server HOT 1
- [DistGB] re-implement IdMap with torch instead of numpy
- [DGL][CUDA] `examples/sampling/node_classification.py --mode=gpu` is slow.
- how to construct a negative heterogeneous graph example? HOT 1
- [GraphBolt][CUDA] Specialized kernels for simple Neighbor Sampling HOT 1
- [GraphBolt][CUDA] Check if `unique_and_compact` can be optimized by using a hash table.
- [DistGB] enable non-int64_t index tensor
- nn.Deepwalk does not work with OGBN-arxiv data, likely a bug? HOT 3
- [GraphBolt][CUDA] Add `gb.scatter` to support pinned tensors.
- CUDA12.2 support? HOT 1
- 【GraphBolt】【Bug】exception is thrown by __iter__ of FeatureFetcher HOT 7
- [CI] Add the latest torch version to CI
- [RFC] Intel GPU support HOT 2
- why the build in function (dgl.fuction) such as dgl.fuction.sum did not display its useness? in Pycharm, it shows below. HOT 1
- [GraphBolt][Tutorial] Chapter 6.8 GPU based sampling HOT 3
- [GraphBolt] LayerNeighborSampler regression HOT 1
- TGN loss calculation error HOT 1
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