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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Jiacheng Cen

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2 papers indexed here

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Preprint Aug 2026

Reducing Symmetry Increase in Equivariant Neural Networks

Equivariant Neural Networks (ENNs) have empowered numerous applications in scientific fields. Despite their remarkable capacity for representing geometric structures, ENNs suffer from degraded expressivity when processing symmetric inputs: the output representations are invariant to transformations that extend beyond t...

Ning Lin, Jiacheng Cen, Anyi Li et al. · 1 citation
Book Open access Aug 2026

One Path to Model Them All: Learnable-Time Flow Matching for Crystal Structure and Energy Prediction

Crystals are cornerstone materials for semiconductors and renewable energy, yet their discovery is hindered by the prohibitive cost of Density Functional Theory (DFT). While geometric graph neural networks have advanced Crystal Structure Prediction (CSP) and energy estimation, existing methods treat these tasks as disp...

Songyou Li, Mingze Li, Qianpu Liu et al. · 1 citation

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