Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2410.01635
Cited By
v1
v2 (latest)
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis
2 October 2024
Qunzhong Wang
Xiangguo Sun
Hong Cheng
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis"
27 / 27 papers shown
Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
Dongyi Liu
Jiangtong Li
Dawei Cheng
Changjun Jiang
AAML
116
0
0
26 Oct 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
208
3
0
10 Jun 2025
GCAL: Adapting Graph Models to Evolving Domain Shifts
Ziyue Qiao
Qianyi Cai
Hao Dong
Jiawei Gu
Pengyang Wang
Meng Xiao
Xiao Luo
Hui Xiong
CLL
270
3
0
22 May 2025
Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization
Haojia Zhu
Jiahui Jin
Dong Kan
Rouxi Shen
Ruize Wang
Xiangguo Sun
Jinghui Zhang
282
0
0
11 Mar 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
Knowledge Discovery and Data Mining (KDD), 2024
Jiapeng Zhu
Zichen Ding
Jianxiang Yu
Jiaqi Tan
Xiang Li
Weining Qian
OffRL
553
11
0
20 Jan 2025
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
Bo Jiang
Hao Wu
Beibei Wang
Jin Tang
Bin Luo
216
2
0
29 Oct 2024
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Hengyu Zhang
Chunxu Shen
Xiangguo Sun
Jie Tan
Yu Rong
Chengzhi Piao
Hong Cheng
Lingling Yi
219
0
0
15 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
478
6
0
12 Aug 2024
ProG: A Graph Prompt Learning Benchmark
Neural Information Processing Systems (NeurIPS), 2024
Chenyi Zi
Haihong Zhao
Xiangguo Sun
Yiqing Lin
Hong Cheng
Jia Li
372
28
0
08 Jun 2024
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
Haihong Zhao
Chenyi Zi
Xiangguo Sun
Hong Cheng
Jia Li
315
75
0
15 Feb 2024
Prompt Learning on Temporal Interaction Graphs
Xi Chen
Siwei Zhang
Yun Xiong
Xixi Wu
Jiawei Zhang
Xiangguo Sun
Yao Zhang
Feng Zhao
Yulin Kang
AI4CE
274
13
0
09 Feb 2024
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
The Web Conference (WWW), 2023
Yuhao Yang
Lianghao Xia
Da Luo
Kangyi Lin
Chao Huang
AI4CE
440
34
0
28 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond
Xiangguo Sun
Jiawen Zhang
Xixi Wu
Hong Cheng
Yun Xiong
Jia Li
899
83
0
28 Nov 2023
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
The Web Conference (WWW), 2023
Yihong Ma
Ning Yan
Jiayu Li
Masood S. Mortazavi
Nitesh Chawla
470
40
0
23 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning
The Web Conference (WWW), 2023
Yun Zhu
Yaoke Wang
Haizhou Shi
Zhenshuo Zhang
Dian Jiao
Siliang Tang
AI4CE
471
35
0
11 Oct 2023
All in One: Multi-task Prompting for Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2023
Xiangguo Sun
Hongtao Cheng
Jia Li
Bo Liu
Jihong Guan
LLMAG
AI4CE
345
215
0
04 Jul 2023
Virtual Node Tuning for Few-shot Node Classification
Knowledge Discovery and Data Mining (KDD), 2023
Zhen Tan
Ruocheng Guo
Kaize Ding
Huan Liu
232
56
0
09 Jun 2023
PRODIGY: Enabling In-context Learning Over Graphs
Neural Information Processing Systems (NeurIPS), 2023
Qian Huang
Hongyu Ren
Peng Chen
Gregor Krvzmanc
D. Zeng
Abigail Z. Jacobs
J. Leskovec
270
102
0
21 May 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
The Web Conference (WWW), 2023
Zemin Liu
Xingtong Yu
Yuan Fang
Xinming Zhang
LLMAG
AI4CE
447
225
0
16 Feb 2023
MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning
Cameron Diao
Kaixiong Zhou
Zirui Liu
Xiao Huang
Helen Zhou
169
16
0
20 Dec 2022
Universal Prompt Tuning for Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2022
Taoran Fang
Yunchao Zhang
Yang Yang
Chunping Wang
Lei Chen
488
97
0
30 Sep 2022
TUDataset: A collection of benchmark datasets for learning with graphs
Christopher Morris
Nils M. Kriege
Franka Bause
Kristian Kersting
Petra Mutzel
Marion Neumann
543
980
0
16 Jul 2020
Diffusion Improves Graph Learning
Neural Information Processing Systems (NeurIPS), 2019
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
1.2K
818
0
28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks
Journal of Computational Science and Technology (JCST), 2019
Danhao Zhu
Xinyu Dai
Jiajun Chen
157
26
0
27 Oct 2019
Graph Attention Networks
International Conference on Learning Representations (ICLR), 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
3.8K
24,093
0
30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
1.8K
32,850
0
09 Sep 2016
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
519
853
0
16 Jun 2016
1
