v1v2v3 (latest)

SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation

The Web Conference (WWW), 2022

7 February 2022

Lirong Wu

Stan Z. Li

Papers citing "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

50 / 80 papers shown

Title
Understanding InfoNCE: Transition Probability Matrix Induced Feature Clustering Ge Cheng Shuo Wang Yun Zhang 80 0 0 15 Nov 2025
Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks Yanan Zhao Feng Ji Jingyang Dai Jiaze Ma Keyue Jiang K. Zhao Wee Peng Tay DiffM 76 0 0 09 Nov 2025
Toward General Digraph Contrastive Learning: A Dual Spatial Perspective Daohan Su Yang Zhang Xunkai Li Rong-Hua Li Guoren Wang 66 0 0 18 Oct 2025
Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs Shengyin Sun Chen Ma Jiehao Chen 133 0 0 14 Oct 2025
Generative Data Augmentation in Graph Contrastive Learning for Recommendation Yansong Wang Qihui Lin Junjie Huang Tao Jia 70 0 0 10 Oct 2025
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025 Seong Jin Ahn Myoung-Ho Kim 222 0 0 05 Oct 2025
From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning Ali Azizpour Reza Ramezanpour A. Sabharwal Santiago Segarra 158 0 0 04 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 152 0 0 26 Sep 2025
Generalize across Homophily and Heterophily: Hybrid Spectral Graph Pre-Training and Prompt Tuning Haitong Luo Suhang Wang Weiyao Zhang Ruiqi Meng Xuying Meng Yujun Zhang 113 0 0 15 Aug 2025
GRAVITY: A Controversial Graph Representation Learning for Vertex Classification Etienne Gael Tajeuna Jean Marie Tshimula 56 0 0 12 Aug 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 152 1 0 10 Jun 2025
The quest for the GRAph Level autoEncoder (GRALE) Paul Krzakala Gabriel Melo Charlotte Laclau Florence dÁlché-Buc Rémi Flamary 262 0 0 28 May 2025
Supervised Graph Contrastive Learning for Gene Regulatory Networks Sho Oshima Yuji Okamoto Taisei Tosaki Ryosuke Kojima Yasushi Okuno 331 0 0 23 May 2025
Relation-Aware Graph Foundation Model Jianxiang Yu Jiapeng Zhu Hao Qian Ziqi Liu Zhiqiang Zhang Xiang Li 199 0 0 17 May 2025
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation Shengyin Sun Chen Ma 334 7 0 13 May 2025
Dual Test-time Training for Out-of-distribution Recommender SystemIEEE 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 387 31 0 13 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 223 0 0 13 Mar 2025
GraphBridge: Towards Arbitrary Transfer Learning in GNNsInternational Conference on Learning Representations (ICLR), 2025 Li Ju Xingyi Yang Qi Li Xinchao Wang 355 0 0 26 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Shuo Wang Bokui Wang Zhixiang Shen Boyan Deng Zhao Kang 539 13 0 04 Feb 2025
Molecular Graph Contrastive Learning with Line GraphPattern Recognition (Pattern Recogn.), 2025 Xueyuan Chen Shangzhe Li Ruomei Liu Bowen Shi Qingbin Liu Junran Wu Ke Xu 239 3 0 15 Jan 2025
CLDG: Contrastive Learning on Dynamic GraphsIEEE International Conference on Data Engineering (ICDE), 2023 Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 307 24 0 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 189 1 0 16 Oct 2024
Enhance Graph Alignment for Large Language Models Haitong Luo Xuying Meng Suhang Wang Tianxiang Zhao Fali Wang Hanyun Cao Yujun Zhang 791 3 0 15 Oct 2024
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph CoordinatorsAnnual 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 171 0 0 15 Oct 2024
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models Yi Fang Dongzhe Fan Daochen Zha Qiaoyu Tan 197 22 0 17 Jun 2024
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 170 9 0 11 Jun 2024
ProG: A Graph Prompt Learning BenchmarkNeural Information Processing Systems (NeurIPS), 2024 Chenyi Zi Haihong Zhao Xiangguo Sun Yiqing Lin Hong Cheng Jia Li 296 26 0 08 Jun 2024
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection Xiang Tao Liang Wang Qiang Liu Shu Wu Liang Wang 126 12 0 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 242 2 0 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 230 3 0 03 Mar 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property ProtectionKnowledge Discovery and Data Mining (KDD), 2024 Enyan Dai Min Lin Suhang Wang 205 3 0 06 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun Xia Bozhen Hu Stan Z. Li 242 8 0 04 Feb 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial PoolingScience 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 147 23 0 29 Jan 2024
Deep Manifold Graph Auto-Encoder for Attributed Graph EmbeddingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Bozhen Hu Z. Zang Jun Xia Lirong Wu Cheng Tan Stan Z. Li GNN 151 3 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 164 3 0 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 293 13 0 07 Dec 2023
Improving Self-supervised Molecular Representation Learning using Persistent HomologyNeural Information Processing Systems (NeurIPS), 2023 Yuankai Luo Lei Shi Veronika Thost SSL 219 9 0 29 Nov 2023
GraphGPT: Graph Instruction Tuning for Large Language ModelsAnnual 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 311 239 0 19 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer LearningThe Web Conference (WWW), 2023 Yun Zhu Yaoke Wang Haizhou Shi Zhenshuo Zhang Dian Jiao Siliang Tang AI4CE 360 34 0 11 Oct 2023
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal DistillationAAAI 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 171 1 0 08 Sep 2023
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 271 7 0 22 Aug 2023
CONVERT:Contrastive Graph Clustering with Reliable AugmentationACM 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 195 66 0 17 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level TasksIEEE International Conference on Data Engineering (ICDE), 2023 Zhili Wang Hanmo Liu Lei Chen Xiaofang Zhou 194 14 0 14 Aug 2023
All in One: Multi-task Prompting for Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2023 Xiangguo Sun Hongtao Cheng Jia Li Bo Liu Jihong Guan LLMAG AI4CE 271 207 0 04 Jul 2023
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction? Jun Xia Lecheng Zhang Xiao Zhu Stan Z. Li 215 5 0 30 Jun 2023
Graph Self-Supervised Learning for Endoscopic Image MatchingACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2023 Manel Farhat A. Ben-Hamadou SSL 165 1 0 19 Jun 2023
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation FrameworkAAAI Conference on Artificial Intelligence (AAAI), 2023 Lirong Wu Haitao Lin Yufei Huang Tianyu Fan Stan Z. Li 196 46 0 18 May 2023
Automated Spatio-Temporal Graph Contrastive LearningThe Web Conference (WWW), 2023 Qianru Zhang Chao Huang Lianghao Xia Zheng Wang Zhonghang Li Siu-keung Yiu AI4TS 133 65 0 06 May 2023
MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction Liang Zeng Lanqing Li Jian Li 141 4 0 03 May 2023
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural NetworkIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Nian Liu Tianlin Li Hui-jun Han Chuan Shi SSL 137 14 0 24 Apr 2023