1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Can GNN be Good Adapter for LLMs?
Xuanwen Huang, Kaiqiao Han, Yang Yang +4
Recently, large language models (LLMs) have demonstrated superior capabilities in understanding and zero-shot learning on textual data, promising significant advances for many text…
cs.SI2023★ 1 cited
Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs
Xuanwen Huang, Kaiqiao Han, Dezheng Bao +4
Text-attributed Graphs (TAGs) are commonly found in the real world, such as social networks and citation networks, and consist of nodes represented by textual descriptions. Current…
cs.MM2022
MMGA: Multimodal Learning with Graph Alignment
Xuan Yang, Quanjin Tao, Xiao Feng +3
Multimodal pre-training breaks down the modality barriers and allows the individual modalities to be mutually augmented with information, resulting in significant advances in repre…