alibaba / graphlearn-for-pytorch

A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

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[Feat] In-bound (In-edge) Sampling Support

husimplicity opened this issue Β· comments

πŸš€ The feature, motivation and pitch

GLT now only support out-bound sampling, i.e. sampling from src to dst, while in some cases in-bound sampling, i.e. sampling from dst to src, may perform better. IMO, it is necessary to support the option of in-bound sampling.

Alternatives

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Additional context

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