Author

Tobias Käfer

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#graph neural networks Aug 2026

When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series

This work proposes Graph Layer for Inference in Dynamic En- vironments (GLIDE), a novel GNN layer enhanced by two theoretically grounded design mechanisms that significantly improve learning under dynamic topology while preserving robustness in static scenarios.

Chen Shao, Yue Wang, Zhenyi Zhu et al. · Lecture notes in computer sc... · 0 citations