GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning

11 October 2023

Papers citing "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning"

8 / 8 papers shown

Title
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning Rui Lv Z. Zhang Kai Zhang Qi Liu Weibo Gao J. H. Liu Jiaxia Yan Linan Yue Fangzhou Yao 84 0 0 04 May 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Qin Chen Liang Wang Bo Zheng Guojie Song 36 2 0 28 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 60 2 0 03 Jan 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng R. Li Jundong Li Kaize Ding OOD 45 2 0 25 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 43 6 0 14 Oct 2024
AnyTrans: Translate AnyText in the Image with Large Scale Models Zhipeng Qian Pei Zhang Baosong Yang Kai Fan Yiwei Ma Derek F. Wong Xiaoshuai Sun Rongrong Ji VLM 36 1 0 17 Jun 2024
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 188 1,133 0 10 Sep 2022
Overcoming Catastrophic Forgetting in Graph Neural Networks Huihui Liu Yiding Yang Xinchao Wang 154 112 0 10 Dec 2020