[Homo Optimization] Optimization on GSF #686
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…wslabs#681) *Issue #, if available:* As we chain train/inference with node id remapping in the train and inference pipeline, both train/inference entries and remap entry should be more robust to unknown arguments. Related issue: awslabs#674 *Description of changes:* Update builtin train/inference entries to accept unknown arguments. By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice. Co-authored-by: Xiang Song <[email protected]>
…mes (awslabs#682) *Issue #, if available:* When --column-names does not cover all builtin names, the remap will crash Related issue: awslabs#674 *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice. --------- Co-authored-by: Xiang Song <[email protected]>
…ments (awslabs#681)" This reverts commit ca0ed1f.
…iltin names (awslabs#682)" This reverts commit 5e7cbb8.
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*Issue #, if available:* *Description of changes:* Allow users to start training/inferring job without specifying target_ntype/target_etype on homogeneous graph. By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice. --------- Co-authored-by: xiang song(charlie.song) <[email protected]> Co-authored-by: Xiang Song <[email protected]>
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Issue #, if available:
Description of changes:
Allow users to start training/inferring job without specifying target_ntype/target_etype on homogeneous graph.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.