9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.AI2024
LLMs for Relational Reasoning: How Far are We?
Zhiming Li, Yushi Cao, Xiufeng Xu +5
Large language models (LLMs) have revolutionized many areas (e.g. natural language processing, software engineering, etc.) by achieving state-of-the-art performance on extensive do…
cs.LG2023★ 9 cited
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Xu Liu, Yuxuan Liang, Chao Huang +4
Spatio-temporal graph neural networks (STGNN) have become the most popular solution to traffic forecasting. While successful, they rely on the message passing scheme of GNNs to est…