AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes \sysname, an Orbit-Adaptive Graph Neural Network framework, which outperforms existing transfer and naive zero-shot baselines, establishing a new paradigm for structure-driven zero-shot forecasting.
Spatio-temporal graph forecasting is crucial for numerous real-world applications but often suffers from severe data scarcity in target domains, necessitating knowledge transfer from data-rich sources. In this work, we push this to the extreme by studying zero-shot spatio-temporal graph learning, where only the target...
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