AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Recent advances in representation learning have highlighted the utility of constant-curvature models, such as hyperbolic and spherical spaces, for modeling complex data. Mixed-curvature models further enhance this by integrating multiple constant-curvature components. However, these models typically learn each componen...
This work model high-order skeletal statistics via Gaussian embedding and propose a Riemannian network to capture inter-subject interactions and global correlations and shows that RGCN provides a competitive and geometrically grounded alternative for skeleton-based interaction recognition.
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