Abstract: Graph model generation from natural language requirements is an essential task in software engineering, for which large language models (LLMs) have become increasingly popular. A key ...

Extensive knowledge graphs (KGs) have been constructed to facilitate knowledge-driven tasks across various scenarios. However, existing work usually develops separate reasoning models for different ...

Presenting OpenGraph, a foundation graph model distilling zero-shot graph generalizability from LLMs. To achieve this goal, OpenGraph addresses several key technical challenges: We propose a unified ...

Abstract: In this article, we address the problem of exponential mean-square stabilization control for cyber-physical systems (CPSs) characterized by time-varying parameters, random denial-of-service ...