1 code implementation • 18 Jan 2024 • Chenghua Gong, Yao Cheng, Xiang Li, Caihua Shan, Siqiang Luo
Graphs are structured data that models complex relations between real-world entities.
no code implementations • 16 Oct 2023 • Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin
Third, we design a prompting tuning method for our multi-view graph contrastive learning method to bridge the gap between pretexts and downsteam tasks.
no code implementations • 15 Oct 2023 • Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
In order to tackle this challenge, we propose a lightweight paradigm called ENG, which adopts a plug-and-play approach to empower text-attributed graphs through node generation using LLMs.