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A. Hammoud

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Open access Jul 2026

Is There a Best Hypergraph Neural Network? A Significance-Aware Recomputation and Statistical Audit of DHG-Bench

Deep hypergraph learning is evaluated almost entirely through leaderboards that rank methods by mean accuracy over a few random seeds, usually without significance testing. Is there a best hypergraph neural network, or does the apparent ordering reflect seed noise? We independently recomputed the node-classification tr...

V. Tynchenko, S. Kurashkin, Alexey S. Borodulin et al. · 0 citations

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