14 citations · 15 across the 4 of their papers we have counts for
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cs.SI2024★ 14 cited
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
Huanjing Zhao, Beining Yang, Yukuo Cen +6
The text-attributed graph (TAG) is one kind of important real-world graph-structured data with each node associated with raw texts. For TAGs, traditional few-shot node classificati…
cs.SI2024★ 1 cited
Spatio-Temporal Graph Convolutional Network Combined Large Language Model: A Deep Learning Framework for Bike Demand Forecasting
Peisen Li, Yizhe Pang, Junyu Ren
This study presents a new deep learning framework, combining Spatio-Temporal Graph Convolutional Network (STGCN) with a Large Language Model (LLM), for bike demand forecasting. Add…