feat(learning): Integrate GLTorch into GraphScope #3230
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LiSu
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LiSu
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Codecov Report
Additional details and impacted files@@ Coverage Diff @@
## main #3230 +/- ##
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+ Coverage 42.06% 66.20% +24.13%
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Files 101 101
Lines 10987 11006 +19
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+ Hits 4622 7286 +2664
+ Misses 6365 3720 -2645
... and 65 files with indirect coverage changes Continue to review full report in Codecov by Sentry.
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sighingnow
previously approved these changes
Sep 25, 2023
| capture_output=True, | ||
| text=True, | ||
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| import re |
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Maybe running cmake in a clean build directory would be better, i.e.,
build_dir = os.path.join(glt_root_path, 'cmake-build')
os.makedirs(build_dir, exist_ok=True)
output = subprocess.run([shutil.which('cmake'), '..'], cwd=build_dir, ....)
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Fixed by adding a clean cmake build directory.
…n_torch dataset and training on a single machine (#3156) ## What do these changes do? This pr introduces the following changes: 1. A new graphlearn_torch API for session. 2. Add the script to launch the graphlearn_torch server with handle and config. 3. Include an example of graphsage node classification with the ogbn-arxiv dataset in GraphScope on a single machine. ## Related issue number #3157
The dynamic world size feature in server-client mode has been implemented in GLT, and this PR is used to update and use this feature.
fix lint issues
fix lint issue
Add a tutorial for training PyG model.
Skip GLTorch link check
yecol
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sighingnow
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This PR integrates GLTorch into GraphScope, allowing training GNNs using GLTorch in the local mode of GraphScope.