AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 2 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.
This work proposes a EA foundation model driven by a parallel encoding strategy that facilitates anchor-conditioned message passing and significantly shortens the inference trajectory by leveraging local structural proximity instead of global search.
The LLM–KGFR collaborative framework, where an LLM works with a structured retriever, the Knowledge Graph Foundation Retriever (KGFR), achieves strong performance while maintaining scalability and generalization, providing a practical solution for KG-augmented reasoning.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.