Add dropout_node to torch_geometric.utils
#5481
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@@ Coverage Diff @@
## master #5481 +/- ##
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+ Coverage 83.30% 83.31% +0.01%
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Files 350 350
Lines 19049 19062 +13
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+ Hits 15868 15881 +13
Misses 3181 3181
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Planning to add these methods in the following PRs:
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rusty1s
reviewed
Sep 21, 2022
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Of course. Will add some tests after addressing your comments :) |
Co-authored-by: Matthias Fey <[email protected]>
Co-authored-by: Matthias Fey <[email protected]>
Co-authored-by: Matthias Fey <[email protected]>
for more information, see https://pre-commit.ci
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@EdisonLeeeee Can you also add the changes to |
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@rusty1s done. Will add |
jjpietrak
pushed a commit
to jjpietrak/pytorch_geometric
that referenced
this pull request
Nov 25, 2022
* add dropout_node * pass num_nodes to subgraph * drop relabel_nodes argument * Update torch_geometric/utils/dropout.py Co-authored-by: Matthias Fey <[email protected]> * Update torch_geometric/utils/dropout.py Co-authored-by: Matthias Fey <[email protected]> * Update torch_geometric/utils/dropout.py Co-authored-by: Matthias Fey <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update * test * changelog Co-authored-by: Matthias Fey <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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This PR is my first attempt to add graph augmentation methods into PyG. As discussed in #5452, I start with a simple augmentation method
DropNodeproposed in Graph Contrastive Learning with Augmentations.