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Add DensePaddingDataLoader for flexible (padded) dense batching of BaseData objects #8518

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Add DensePaddingDataLoader for flexible (padded) dense batching of BaseData objects #8518

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1 change: 1 addition & 0 deletions CHANGELOG.md
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Expand Up @@ -31,6 +31,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- Added the `RCDD` dataset ([#8196](https://github.com/pyg-team/pytorch_geometric/pull/8196))
- Added distributed `GAT + ogbn-products` example targeting XPU device ([#8032](https://github.com/pyg-team/pytorch_geometric/pull/8032))
- Added the option to skip explanations of certain message passing layers via `conv.explain = False` ([#8216](https://github.com/pyg-team/pytorch_geometric/pull/8216))
- Added the new `DensePaddingDataLoader` for flexible (padded) dense batching of `Data` and `HeteroData` graphs ([#8518](https://github.com/pyg-team/pytorch_geometric/pull/8518))

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