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Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
26 November 2023
Xingtong Yu
Zhenghao Liu
Yuan Fang
Zemin Liu
Sihong Chen
Xinming Zhang
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Papers citing
"Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs"
24 / 24 papers shown
Title
Task-Aware Retrieval Augmentation for Dynamic Recommendation
Zhen Tao
Xinke Jiang
Qingshuai Feng
Haoyu Zhang
Lun Du
Yuchen Fang
Hao Miao
Bangquan Xie
Qingqiang Sun
69
0
0
16 Nov 2025
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
Haonan Yuan
Qingyun Sun
Junhua Shi
Xingcheng Fu
Bryan Hooi
Jianxin Li
Philip S. Yu
VLM
208
1
0
05 Nov 2025
Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks
Yuhan Yang
Xingbo Fu
Jundong Li
AI4CE
147
0
0
27 Oct 2025
Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization
Yunlong Chu
Minglai Shao
Zengyi Wo
Bing Hao
Yuhang Liu
Ruijie Wang
Jianxin Li
87
0
0
24 Oct 2025
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
Yongqi Huang
Jitao Zhao
Dongxiao He
Xiaobao Wang
Yawen Li
Yuxiao Huang
Di Jin
Zhiyong Feng
VLM
156
0
0
26 Sep 2025
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
Xingbo Fu
Zehong Wang
Zihan Chen
Jiazheng Li
Yaochen Zhu
Zhenyu Lei
Cong Shen
Yanfang Ye
Chuxu Zhang
Jundong Li
AI4CE
VLM
172
1
0
10 Jun 2025
Graph Positional Autoencoders as Self-supervised Learners
Yang Liu
Deyu Bo
Wenxuan Cao
Yuan Fang
Yawen Li
C. Shi
SSL
273
1
0
29 May 2025
Edge Prompt Tuning for Graph Neural Networks
International Conference on Learning Representations (ICLR), 2025
Xingbo Fu
Yinhan He
Jundong Li
258
6
0
02 Mar 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
The Web Conference (WWW), 2025
Qin Chen
Liang Wang
Bo Zheng
Guojie Song
384
6
0
28 Jan 2025
SGPT: Few-Shot Prompt Tuning for Signed Graphs
Zian Zhai
Sima Qing
Xiaoyang Wang
Wenjie Zhang
242
0
0
11 Dec 2024
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
International Conference on Learning Representations (ICLR), 2024
Yujie Mo
Runpeng Yu
Xiaofeng Zhu
Xinchao Wang
215
3
0
02 Nov 2024
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
Minhua Lin
Zhiwei Zhang
Enyan Dai
Zongyu Wu
Yilong Wang
Xiang Zhang
Suhang Wang
SILM
AAML
137
1
0
17 Oct 2024
Urban Region Pre-training and Prompting: A Graph-based Approach
Knowledge Discovery and Data Mining (KDD), 2024
Jiahui Jin
Yifan Song
Dong Kan
Haojia Zhu
Xiangguo Sun
Zhicheng Li
Xigang Sun
Jinghui Zhang
AI4TS
AI4CE
443
6
0
12 Aug 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong
Jiarui Feng
Hao Liu
Chengsong Huang
Jiaxin Huang
Yixin Chen
Muhan Zhang
AI4CE
303
25
0
12 Jul 2024
Exploring Task Unification in Graph Representation Learning via Generative Approach
Yulan Hu
Ouyang Sheng
Zhirui Yang
Ge Chen
Junchen Wan
Xiao Wang
Yong Liu
155
3
0
21 Mar 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation
Cunchun Li
Xinglin Li
Yongduo Sui
Yuan Gao
Guibin Zhang
Kun Wang
Xiang Wang
Xiangnan He
DD
205
24
0
05 Feb 2024
Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting
Xingtong Yu
Yuan Fang
Zemin Liu
Yuxia Wu
Zhihao Wen
Jianyuan Bo
Xinming Zhang
Steven C. H. Hoi
VLM
236
5
0
02 Feb 2024
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
194
14
0
30 Jan 2024
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xingtong Yu
Yuan Fang
Zemin Liu
Xinming Zhang
450
57
0
04 Dec 2023
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
The Web Conference (WWW), 2023
Xingtong Yu
Chang Zhou
Yuan Fang
Xinming Zhang
527
52
0
28 Nov 2023
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
International Conference on Computational Linguistics (COLING), 2023
Peng Xia
Xingtong Yu
Ming Hu
Lie Ju
Zhiyong Wang
Peibo Duan
Zongyuan Ge
VLM
258
16
0
23 Nov 2023
PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks
Qingqing Ge
Zeyuan Zhao
Yiding Liu
Anfeng Cheng
Xiang Li
Shuaiqiang Wang
D. Yin
132
8
0
26 Oct 2023
One for All: Towards Training One Graph Model for All Classification Tasks
International Conference on Learning Representations (ICLR), 2023
Hao Liu
Jiarui Feng
Lecheng Kong
Ningyue Liang
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
409
202
0
29 Sep 2023
Contrastive Multi-View Representation Learning on Graphs
International Conference on Machine Learning (ICML), 2020
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
656
1,555
0
10 Jun 2020
1