Heterogeneous Link Prediction Example for cuGraph-PyG #104
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alexbarghi-nv
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improvement
alexbarghi-nv
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Jan 27, 2025
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This is only a correction to the type hints. Method behavior is unchanged.
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Confirmed this is working on 8xH100 |
tingyu66
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Jan 30, 2025
bdice
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Jan 31, 2025
| common: | ||
| - output_types: [conda] | ||
| packages: | ||
| - pytorch>=2.3,<2.6a0 |
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I'm a bit confused, do we also need an upper bound pinning for pip packages? It appears to be reusing *pytorch_pip below, which won't have the <2.6a0 upper bound.
KyleFromNVIDIA
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Jan 31, 2025
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/merge |
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Feb 4, 2025
Now that all features supported by the Dask API are available in the new API, we are deprecating the Dask API. It will be removed in release 25.06. Merge after #104 Closes #86 Authors: - Alex Barghi (https://github.com/alexbarghi-nv) Approvers: - Tingyu Wang (https://github.com/tingyu66) URL: #118
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Adds a heterogeneous link prediction example for cuGraph-PyG that uses the Taobao dataset. Loosely based on the Taobao example from the PyG repository.
Adds ability to specify fanout as a dictionary to better align with PyG API.
Fixes a bug where the number of negative samples was calculated incorrectly, causing additional unwanted negative samples to be generated.
Updates the negative sampling call to match the new behavior added in rapidsai/cugraph#4885
Merge after rapidsai/cugraph#4898