GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

1 code implementation • 9 Oct 2023 • Ziwei Chai, Tianjie Zhang, Liang Wu, Kaiqiao Han, Xiaohai Hu, Xuanwen Huang, Yang Yang

This synergy equips LLMs with the ability to proficiently interpret and reason on graph data, harnessing the superior expressive power of graph learning models.

Graph Learning Language Modelling +1

Learning to Detect Slip through Tactile Estimation of the Contact Force Field and its Entropy

no code implementations • 2 Mar 2023 • Xiaohai Hu, Aparajit Venkatesh, Guiliang Zheng, Xu Chen

Detection of slip during object grasping and manipulation plays a vital role in object handling.