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Virtual Node Tuning for Few-shot Node Classification

Virtual Node Tuning for Few-shot Node Classification

9 June 2023
Zhen Tan
Ruocheng Guo
Kaize Ding
Huan Liu
ArXivPDFHTML

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

12 / 12 papers shown
Title
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
193
0
0
04 May 2025
Edge Prompt Tuning for Graph Neural Networks
Xingbo Fu
Yinhan He
Jundong Li
52
1
0
02 Mar 2025
Prompt-Driven Continual Graph Learning
Prompt-Driven Continual Graph Learning
Qi Wang
Tianfei Zhou
Ye Yuan
Rui Mao
CLL
47
0
0
10 Feb 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yuqi Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
168
0
0
10 Jan 2025
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
Guibin Zhang
Xinfeng Li
Xiangguo Sun
Guancheng Wan
Miao Yu
Junfeng Fang
Kun Wang
Dawei Cheng
Dawei Cheng
AAML
AI4CE
54
7
0
15 Oct 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning
Krait: A Backdoor Attack Against Graph Prompt Tuning
Ying Song
Rita Singh
Balaji Palanisamy
AAML
63
0
0
18 Jul 2024
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
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
34
18
0
23 Oct 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
14
13
0
26 Aug 2023
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
197
309
0
15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,872
0
18 Apr 2021
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
187
1,171
0
03 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
413
11,715
0
09 Mar 2017
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