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The original was posted on /r/machinelearning by /u/luoyuankai on 2024-11-10 04:32:19+00:00.

We’re excited to share our recent paper “[NeurIPS 2024] Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification.”

In this study, we conduct a thorough review of classic GNNs for node classification tasks. Our findings suggest that the superior performance often reported by state-of-the-art graph learning models may be due to suboptimal hyperparameter configurations in classic GNNs. By fine-tuning these hyperparameters, we show that classic GNNs outperform the latest models on 17 out of 18 widely used node classification datasets.

Arxiv: https://arxiv.org/abs/2406.08993

Code: https://github.com/LUOyk1999/tunedGNN

If you find our work interesting, we’d greatly appreciate a ⭐️ on GitHub!