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lightaimeJakubPietrakIntel
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Fix path in heter_conv_dblp example (pyg-team#5686)
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CHANGELOG.md

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@@ -158,6 +158,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Added temporal sampling support to `NeighborLoader` ([#4025](https://github.com/pyg-team/pytorch_geometric/pull/4025))
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- Added an example for unsupervised heterogeneous graph learning based on "Deep Multiplex Graph Infomax" ([#3189](https://github.com/pyg-team/pytorch_geometric/pull/3189))
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### Changed
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- Fixed `path` in `heter_conv_dblp` example ([#5686](https://github.com/pyg-team/pytorch_geometric/pull/5686))
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- Changed docstring for `RandomLinkSplit` ([#5190](https://github.com/pyg-team/pytorch_geometric/issues/5190))
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- Switched to PyTorch `scatter_reduce` implementation - experimental feature ([#5120](https://github.com/pyg-team/pytorch_geometric/pull/5120))
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- Fixed `RGATConv` device mismatches for `f-scaled` mode ([#5187](https://github.com/pyg-team/pytorch_geometric/pull/5187)]

examples/hetero/hetero_conv_dblp.py

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from torch_geometric.nn import HeteroConv, Linear, SAGEConv
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path = osp.join(osp.dirname(osp.realpath(__file__)), '../../data/DBLP')
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path = '/data/datasets/DBLP'
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dataset = DBLP(path)
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data = dataset[0]
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print(data)

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