Jiawei Gu

The Hidden Fragility of GNNs: How Graph Structure Amplifies Numerical Errors

This work proposes Aggregation-Aware Representation Learning (AARL) to learn numerically stable and cancellation-resistant representations without sacrificing expressiveness, and formalizes this through the cancellation ratio, proving that it is fundamentally governed by graph topology.