12 citations · 38 across the 10 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CL2023★ 2 cited
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
Yijian Qin, Xin Wang, Ziwei Zhang +1
Text-attributed graphs (TAGs) are prevalent on the web and research over TAGs such as citation networks, e-commerce networks and social networks has attracted considerable attentio…
cs.LG2023★ 1 cited
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
Zeyang Zhang, Xin Wang, Ziwei Zhang +3
In an era marked by the increasing adoption of Large Language Models (LLMs) for various tasks, there is a growing focus on exploring LLMs' capabilities in handling web data, partic…
cs.LG2023★ 2 cited
Graph Meets LLMs: Towards Large Graph Models
Ziwei Zhang, Haoyang Li, Zeyang Zhang +3
Large models have emerged as the most recent groundbreaking achievements in artificial intelligence, and particularly machine learning. However, when it comes to graphs, large mode…