We have 4 of 27 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.
LLM-based agents are increasingly used to complete complex, long-horizon tasks without human intervention. To make progress toward the task goal, agents need to perform different duties, such as planning and verification, when needed. To understand how single agents manage these duties during long-horizon execution, we...
Recommendation systems have become crucial tools for mitigating information overload and enhancing user experience. Among them, LightGCN has achieved remarkable results in both efficiency and performance by simplifying graph convolution operations. However, in scenarios with sparse training data, LightGCN tends to prod...
This work introduces a temporal-graph-learning (TGL) controller that learns these predictions jointly and supplies both outputs in one forward pass, and shows that a small graph model can handle both decisions and improve the language agents it controls.
Through this design, CDNE incorporates local node proximity and mesoscopic community semantics without relying on an open-ended iterative procedure, and achieves strong performance in link prediction, cross-layer network reconstruction, and community-quality evaluation.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
