A benchmark of 7 GNNs and 30 losses on 3 graphs claims hybrid losses and GIN rank best on average, but a central summary table contradicts the paper's full results.
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Evaluating Loss Functions for Graph Neural Networks: Towards Pretraining and Generalization
A benchmark of 7 GNNs and 30 losses on 3 graphs claims hybrid losses and GIN rank best on average, but a central summary table contradicts the paper's full results.