Author

Wenjun Wang

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#data science Book Open access Nov 2026

Equivariant Graph Neural ODEs for Modeling Physical Dynamics

Modeling 3D dynamical systems is a fundamental challenge in the physical and engineering sciences, where Equivariant Graph Neural Networks (EGNNs) have emerged as a powerful paradigm by incorporating geometric symmetries. However, these models are fundamentally constrained by their discrete-time, Markovian framework, w...

Jia-Wei Chen, Lu-Jie Yin, Yu-Qi Li et al. · ACM International Conference... · 0 citations

Jul 2026

When Can You Correct Distribution Drift in Temporal Graph Generation? A Sharpening-Drift Tension and an Impossibility for Observation-Based Correction

It is proved that any corrector measurable with respect to past observations leaves at least the conditional variance of the statistic it tracks, and that trend extrapolation beats trusting the last observation only when $\mu^2>v(1-2\rho)$.

Tian-Peng Li, Xuan Guo, Wenjun Wang et al. · arXiv.org · 0 citations