This release patches the previous major release with updates on benchmark configurations.
pyg_spectral:
- Refactor model configuration with parameter list and ranges.
- Enhance loss configuration for more scenarios.
- Support importing some PyG models/layers for comparison purposes.
benchmark:
- Refactor data loading and logging configuration. Now the pipeline is more compact and extensible.
- Switch to stratified data splitting by default to reduce the effect of imbalanced label splits.
- Enhance parameter tuning scheme to reduce overfitting on tuning splits.
Note that the evaluation results may be different from those under v1.0.0 (and thus the released version of paper) due to configuration changes.
Full Changelog: v1.0.0-beta...v1.0.1-beta