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GPT-GNN: Generative Pre-Training of Graph Neural Networks

GPT-GNN: Generative Pre-Training of Graph Neural Networks

27 June 2020
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Kai-Wei Chang
Yizhou Sun
    SSL
    AI4CE
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Papers citing "GPT-GNN: Generative Pre-Training of Graph Neural Networks"

15 / 15 papers shown
Title
Multi-Modal Molecular Representation Learning via Structure Awareness
Multi-Modal Molecular Representation Learning via Structure Awareness
Rong Yin
Ruyue Liu
Xiaoshuai Hao
Xingrui Zhou
Y. Liu
Can Ma
Weiping Wang
12
0
0
09 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
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
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
Qin Chen
Liang Wang
Bo Zheng
Guojie Song
28
2
0
28 Jan 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
52
19
0
17 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Y. Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
45
0
0
03 Jan 2025
Generative-Contrastive Heterogeneous Graph Neural Network
Generative-Contrastive Heterogeneous Graph Neural Network
Yu-Chiang Frank Wang
Lei Sang
Yi Zhang
Yiwen Zhang
X. Wu
41
0
0
03 Apr 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
16
17
0
23 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TS
GNN
31
3
0
27 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
24
13
0
25 Sep 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training
Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae
Gang Liu
Meng-Long Jiang
AI4CE
35
14
0
08 Sep 2023
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun-Xiong Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
0
16 Feb 2022
Self-supervised Graph Learning for Occasional Group Recommendation
Self-supervised Graph Learning for Occasional Group Recommendation
Bowen Hao
Hongzhi Yin
Cuiping Li
Hong Chen
14
5
0
04 Dec 2021
Adaptive Transfer Learning on Graph Neural Networks
Adaptive Transfer Learning on Graph Neural Networks
Xueting Han
Zhenhuan Huang
Bang An
Jing Bai
20
60
0
19 Jul 2021
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
24
1,567
0
15 Jun 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
167
1,157
0
03 Mar 2020
1