Comprehensive Overview of GNN Experiments: Hardware, Hyperparameters, and Findings | HackerNoon
Briefly

The experiments demonstrate that the theoretical structures established in this paper maintain consistency across a variety of datasets, suggesting a robust foundation for future research.
In maintaining a fair comparison across models, we ensured that hyper-parameters remained constant, avoiding random regularization techniques, which enhances reproducibility and reliability of our results.
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