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Neha Sharma

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#machine learning Jun 2026

When Design Rules Break: Benchmark Composition Determines Whether Label Informativeness Predicts GNN Aggregator Choice

The results suggest that benchmark composition, rather than numerical insufficiency, determines whether design rules appear to generalize, and that the Facebook-100 regime provides a concrete target for future adaptive aggregation methods.

Neha Sharma, Ritesh Sharma · arXiv.org · 0 citations