Virtual Node Tuning for Few-shot Node Classification

Virtual Node Tuning for Few-shot Node Classification

9 June 2023

Huan Liu

Papers citing "Virtual Node Tuning for Few-shot Node Classification"

10 / 10 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 29 0 0 04 May 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 41 1 0 02 Mar 2025
Prompt-Driven Continual Graph Learning Qi Wang Tianfei Zhou Ye Yuan Rui Mao CLL 32 0 0 10 Feb 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 39 0 0 10 Jan 2025
Krait: A Backdoor Attack Against Graph Prompt Tuning Ying Song Rita Singh Balaji Palanisamy AAML 28 0 0 18 Jul 2024
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks Yihong Ma Ning Yan Jiayu Li Masood S. Mortazavi Nitesh V. Chawla 16 17 0 23 Oct 2023
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 176 304 0 15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 167 1,157 0 03 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017