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2202.03104
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SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
The Web Conference (WWW), 2022
7 February 2022
Jun Xia
Lirong Wu
Jintao Chen
Bozhen Hu
Stan Z. Li
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Papers citing
"SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
50 / 86 papers shown
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Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
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Understanding InfoNCE: Transition Probability Matrix Induced Feature Clustering
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Shuo Wang
Yun Zhang
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Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
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Feng Ji
Jingyang Dai
Jiaze Ma
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Wee Peng Tay
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09 Nov 2025
Toward General Digraph Contrastive Learning: A Dual Spatial Perspective
Daohan Su
Yang Zhang
Xunkai Li
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Guoren Wang
125
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18 Oct 2025
Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs
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Chen Ma
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155
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Generative Data Augmentation in Graph Contrastive Learning for Recommendation
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Qihui Lin
Junjie Huang
Tao Jia
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10 Oct 2025
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Seong Jin Ahn
Myoung-Ho Kim
296
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05 Oct 2025
From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning
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Reza Ramezanpour
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Santiago Segarra
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04 Oct 2025
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
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Jitao Zhao
Dongxiao He
Xiaobao Wang
Yawen Li
Yuxiao Huang
Di Jin
Zhiyong Feng
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246
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26 Sep 2025
Aligning the Spectrum: Hybrid Graph Pre-training and Prompt Tuning across Homophily and Heterophily
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Suhang Wang
Weiyao Zhang
Ruiqi Meng
Xuying Meng
Yujun Zhang
176
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GRAVITY: A Controversial Graph Representation Learning for Vertex Classification
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Jean Marie Tshimula
103
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Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
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Zehong Wang
Zihan Chen
Jiazheng Li
Yaochen Zhu
Zhenyu Lei
Cong Shen
Yanfang Ye
Chuxu Zhang
Jundong Li
AI4CE
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211
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Gabriel Melo
Charlotte Laclau
Florence dÁlché-Buc
Rémi Flamary
337
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28 May 2025
Supervised Graph Contrastive Learning for Gene Regulatory Networks
Sho Oshima
Yuji Okamoto
Taisei Tosaki
Ryosuke Kojima
Yasushi Okuno
444
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23 May 2025
Relation-Aware Graph Foundation Model
Jianxiang Yu
Jiapeng Zhu
Hao Qian
Ziqi Liu
Zhiqiang Zhang
Xiang Li
235
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17 May 2025
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
Shengyin Sun
Chen Ma
412
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13 May 2025
Dual Test-time Training for Out-of-distribution Recommender System
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xihong Yang
Yiqi Wang
Jin Chen
Wenqi Fan
Xiangyu Zhao
En Zhu
Xinwang Liu
Defu Lian
TTA
457
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13 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning
Jing Xu
Franziska Boenisch
Iyiola Emmanuel Olatunji
Adam Dziedzic
AAML
319
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13 Mar 2025
Edge Prompt Tuning for Graph Neural Networks
International Conference on Learning Representations (ICLR), 2025
Xingbo Fu
Yinhan He
Jundong Li
308
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02 Mar 2025
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
International Conference on Learning Representations (ICLR), 2025
Li Ju
Xingyi Yang
Qi Li
Xinchao Wang
411
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26 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
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Bokui Wang
Zhixiang Shen
Boyan Deng
Zhao Kang
644
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04 Feb 2025
Molecular Graph Contrastive Learning with Line Graph
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Xueyuan Chen
Shangzhe Li
Ruomei Liu
Bowen Shi
Qingbin Liu
Junran Wu
Ke Xu
286
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15 Jan 2025
CLDG: Contrastive Learning on Dynamic Graphs
IEEE International Conference on Data Engineering (ICDE), 2023
Yiming Xu
Bin Shi
Teng Ma
Bo Dong
Haoyi Zhou
Qinghua Zheng
368
24
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19 Dec 2024
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
Zhuomin Chen
Jingchao Ni
Hojat Allah Salehi
Xu Zheng
Esteban Schafir
Farhad Shirani
Dongsheng Luo
274
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16 Oct 2024
Enhance Graph Alignment for Large Language Models
Haitong Luo
Xuying Meng
Suhang Wang
Tianxiang Zhao
Fali Wang
Hanyun Cao
Yujun Zhang
849
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15 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
241
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15 Oct 2024
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
Yi Fang
Dongzhe Fan
Daochen Zha
Qiaoyu Tan
282
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Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective
De Li
Xianxian Li
Zeming Gan
Qiyu Li
Bin Qu
Jinyan Wang
NoLa
252
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11 Jun 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
387
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08 Jun 2024
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
Xiang Tao
Liang Wang
Qiang Liu
Shu Wu
Liang Wang
158
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24 Apr 2024
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
Jungwon Choi
Hyungi Lee
Byung-Hoon Kim
Juho Lee
331
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11 Mar 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
Tianyu Fan
Lirong Wu
Yufei Huang
Haitao Lin
Cheng Tan
Zhangyang Gao
Stan Z. Li
273
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03 Mar 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
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Enyan Dai
Min Lin
Suhang Wang
327
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A Graph is Worth
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Words: Euclideanizing Graph using Pure Transformer
Zhangyang Gao
Daize Dong
Cheng Tan
Jun Xia
Bozhen Hu
Stan Z. Li
319
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04 Feb 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling
Science China Information Sciences (Sci. China Inf. Sci.), 2024
Wei Ju
Yiyang Gu
Zhengyan Mao
Ziyue Qiao
Yifang Qin
Xiao Luo
Hui Xiong
Ming Zhang
SSL
200
27
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29 Jan 2024
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Bozhen Hu
Z. Zang
Jun Xia
Lirong Wu
Cheng Tan
Stan Z. Li
GNN
223
4
0
12 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
Jeongwhan Choi
Hyowon Wi
C. Lee
Sung-Bae Cho
Dongha Lee
Noseong Park
DiffM
210
3
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27 Dec 2023
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
Ching Chang
Chiao-Tung Chan
Wei-Yao Wang
Wenjie Peng
Tien-Fu Chen
AI4TS
384
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Improving Self-supervised Molecular Representation Learning using Persistent Homology
Neural Information Processing Systems (NeurIPS), 2023
Yuankai Luo
Lei Shi
Veronika Thost
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258
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GraphGPT: Graph Instruction Tuning for Large Language Models
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Jiabin Tang
Yuhao Yang
Wei Wei
Lei Shi
Lixin Su
Suqi Cheng
D. Yin
Chao Huang
368
259
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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
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3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Sungjun Cho
Dae-Woong Jeong
Sung Moon Ko
Jinwoo Kim
Sehui Han
Seunghoon Hong
Honglak Lee
Moontae Lee
AI4CE
DiffM
202
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How Expressive are Graph Neural Networks in Recommendation?
International Conference on Information and Knowledge Management (CIKM), 2023
Xuheng Cai
Lianghao Xia
Xubin Ren
Chao Huang
355
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CONVERT:Contrastive Graph Clustering with Reliable Augmentation
ACM Multimedia (ACM MM), 2023
Xihong Yang
Cheng Tan
Yue Liu
K. Liang
Siwei Wang
Sihang Zhou
Jun Xia
Stan Z. Li
Xinwang Liu
En Zhu
271
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Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
IEEE International Conference on Data Engineering (ICDE), 2023
Zhili Wang
Hanmo Liu
Lei Chen
Xiaofang Zhou
266
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All in One: Multi-task Prompting for Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2023
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Hongtao Cheng
Jia Li
Bo Liu
Jihong Guan
LLMAG
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352
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Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Jun Xia
Lecheng Zhang
Xiao Zhu
Stan Z. Li
252
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Graph Self-Supervised Learning for Endoscopic Image Matching
ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2023
Manel Farhat
A. Ben-Hamadou
SSL
234
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HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Knowledge Discovery and Data Mining (KDD), 2023
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
234
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16 Jun 2023
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