Self-Supervised Learning of Graph Neural Networks: A Unified Review

22 February 2021

Papers citing "Self-Supervised Learning of Graph Neural Networks: A Unified Review"

50 / 158 papers shown

Title
Graph Contrastive Invariant Learning from the Causal Perspective Yanhu Mo Xiao Wang Shaohua Fan Chuan Shi 32 14 0 23 Jan 2024
Unifying Graph Contrastive Learning via Graph Message Augmentation Ziyan Zhang Bo Jiang Jin Tang Bin Luo 17 1 0 08 Jan 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Tianqianjin Lin Changlong Sun Xiaozhong Liu AI4CE 28 2 0 19 Dec 2023
ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network Ruyue Liu Rong Yin Yong Liu Weiping Wang SSL 21 3 0 10 Dec 2023
Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering Yuanyuan Guo Zehua Zang Hang Gao Xiao Xu Rui Wang Lixiang Liu Jiangmeng Li 26 5 0 08 Dec 2023
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 21 0 0 08 Dec 2023
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series Ching Chang Chiao-Tung Chan Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 23 2 0 07 Dec 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion Weitao Du Jiujiu Chen Xuecang Zhang Zhiming Ma Shengchao Liu DiffM 27 9 0 06 Dec 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 41 2 0 29 Nov 2023
Improving Self-supervised Molecular Representation Learning using Persistent Homology Yuankai Luo Lei Shi Veronika Thost SSL 34 8 0 29 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 25 52 0 28 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models Zeyu Song Ehsanul Kabir Shagufta Mehnaz 21 0 0 03 Nov 2023
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 26 18 0 23 Oct 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs Kha-Dinh Luong Ambuj Singh AI4CE 27 12 0 05 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang Jiayi Shen Athanasios Efthymiou S. Rudinac Monika Kackovic N. Wijnberg M. Worring 21 0 0 22 Sep 2023
Long-tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao Zhengwei Wu Qing Cui Jun Zhou 16 2 0 20 Sep 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 46 10 0 14 Aug 2023
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information Liang Peng Xin Wang Xiao-lan Zhu 11 6 0 03 Aug 2023
Unsupervised Representation Learning for Time Series: A Review Qianwen Meng Hangwei Qian Yong Liu Yonghui Xu Zhiqi Shen Li-zhen Cui AI4TS 30 17 0 03 Aug 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 26 8 0 24 Jul 2023
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning Boshen Shi Yongqing Wang Fangda Guo Jiangli Shao Huawei Shen Xueqi Cheng OOD AI4CE 30 4 0 21 Jul 2023
Graph Positional and Structural Encoder Semih Cantürk Renming Liu Olivier Lapointe-Gagné Vincent Létourneau Guy Wolf Dominique Beaini Ladislav Rampášek 41 15 0 14 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang 32 0 0 02 Jul 2023
Graph Self-Supervised Learning for Endoscopic Image Matching Manel Farhat A. Ben-Hamadou SSL 21 1 0 19 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 114 102 0 16 Jun 2023
Generated Graph Detection Y. Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 16 0 0 13 Jun 2023
Randomized Schur Complement Views for Graph Contrastive Learning Vignesh Kothapalli 12 1 0 06 Jun 2023
There is more to graphs than meets the eye: Learning universal features with self-supervision L. Das Sai Munikoti M. Halappanavar SSL OOD 27 1 0 31 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 26 30 0 28 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation Yunsheng Bai Atefeh Sohrabizadeh Zongyue Qin Ziniu Hu Yizhou Sun Jason Cong 18 1 0 18 May 2023
Revisiting Graph Contrastive Learning for Anomaly Detection Zhiyuan Liu Chunjie Cao Fangjian Tao Jingzhang Sun 33 5 0 04 May 2023
Capturing Fine-grained Semantics in Contrastive Graph Representation Learning Lin Shu Chuan Chen Zibin Zheng 21 0 0 23 Apr 2023
Graph Neural Networks for Text Classification: A Survey Kunze Wang Yihao Ding S. Han FaML GNN 23 25 0 23 Apr 2023
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review Ravid Shwartz-Ziv Yann LeCun SSL 32 71 0 19 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 51 141 0 11 Apr 2023
Graph Representation Learning for Interactive Biomolecule Systems Xinye Xiong Bingxin Zhou Yu Guang Wang AI4CE GNN 38 0 0 05 Apr 2023
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua Kyriacos Nikiforou Borja Ibarz Ioana Bica Michela Paganini Charles Blundell Jovana Mitrović Petar Velivcković OOD CML NAI 36 26 0 20 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 34 13 0 16 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 26 5 0 31 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 32 7 0 12 Jan 2023
A Survey on Protein Representation Learning: Retrospect and Prospect Lirong Wu Yu-Feng Huang H. Lin Stan Z. Li AI4TS 33 12 0 31 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
Transfer learning for chemically accurate interatomic neural network potentials Viktor Zaverkin David Holzmüller Luca Bonfirraro Johannes Kastner 23 24 0 07 Dec 2022
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective Yige Yuan Bingbing Xu Huawei Shen Qi Cao Keting Cen Wen Zheng Xueqi Cheng 14 13 0 20 Nov 2022
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Hong Wang Jieyu Zhang Qi Zhu Wei Huang Kenji Kawaguchi X. Xiao 39 11 0 20 Nov 2022
Graph Contrastive Learning with Implicit Augmentations Huidong Liang Xingjian Du Bilei Zhu Zejun Ma Ke Chen Junbin Gao 19 29 0 07 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning Chang-Shu Liu Yuwen Yang Zhe Xie Hongtao Lu Yue Ding 33 4 0 01 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 11 56 0 01 Nov 2022