AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 9 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A GNN based on Continuous-Time Quantum Walks (CTQW) and exploiting two properties of the CTQW propagator, preserving mid- and high-frequency signals for heterophilic graphs while preventing Dirichlet-energy collapse.
This work presents a stable and efficient training pipeline, incorporating algorithmic and system optimizations such as clipped importance sampling, training-inference ratio correction, and mixed-precision control, and proposes a structured evaluation framework across three dimensions: comprehensibility, reproducibilit...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.