Contrastive Multi-View Representation Learning on Graphs

10 June 2020

Papers citing "Contrastive Multi-View Representation Learning on Graphs"

50 / 215 papers shown

Title
High-order Multi-view Clustering for Generic Data Erlin Pan Zhao Kang 40 37 0 22 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 23 6 0 16 Sep 2022
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 41 15 0 14 Sep 2022
Jointly Contrastive Representation Learning on Road Network and Trajectory Zhenyu Mao Ziyue Li Dedong Li Lei Bai Rui Zhao AI4TS 39 48 0 14 Sep 2022
Hyperbolic Self-supervised Contrastive Learning Based Network Anomaly Detection Yuan Shi 19 0 0 12 Sep 2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax Hao-Ren Yao Nairen Cao Katina Russell D. Chang O. Frieder Jeremy T. Fineman SSL 25 1 0 01 Sep 2022
Sampling Through the Lens of Sequential Decision Making J. Dou Alvin Pan Runxue Bao Haiyi Mao Lei Luo Zhi-Hong Mao 26 19 0 17 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning Puja Trivedi Ekdeep Singh Lubana Mark Heimann Danai Koutra Jayaraman J. Thiagarajan 30 11 0 04 Aug 2022
Deep Manifold Learning with Graph Mining Xuelong Li Ziheng Jiao Hongyuan Zhang Rui Zhang GNN 13 0 0 18 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang Li Zhang 28 24 0 14 Jul 2022
Does GNN Pretraining Help Molecular Representation? Ruoxi Sun Hanjun Dai Adams Wei Yu SSL AI4CE GNN 6 71 0 13 Jul 2022
Features Based Adaptive Augmentation for Graph Contrastive Learning Adnan Ali Jinlong Li OOD 24 7 0 05 Jul 2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning Haoran Yang Hongxu Chen Sixiao Zhang Xiangguo Sun Qian Li Xiangyu Zhao Guandong Xu SSL 42 24 0 01 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 44 63 0 30 Jun 2022
Memory-Guided Multi-View Multi-Domain Fake News Detection Yongchun Zhu Qiang Sheng Juan Cao Qiong Nan Kai Shu Ming-hui Wu Jindong Wang Fuzhen Zhuang 32 74 0 26 Jun 2022
Semi-Supervised Hierarchical Graph Classification Jia Li Yongfeng Huang Heng Chang Yu Rong 31 27 0 11 Jun 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs Dongjin Lee Kijung Shin 35 37 0 09 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Iriwn King 44 90 0 09 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification Xihong Yang Yue Liu Sihang Zhou Xinwang Liu En Zhu Sihang Zhou Xinwang Liu En Zhu SSL 42 26 0 06 Jun 2022
Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks Jaonary Rabarisoa Velentin Belissen Florian Chabot Q. C. Pham VLM ViT SSL MDE 23 2 0 30 May 2022
Enhancing Sequential Recommendation with Graph Contrastive Learning Yixin Zhang Yong-jin Liu Yonghui Xu Hao Xiong Chenyi Lei Weiliang He Li-zhen Cui Chunyan Miao 24 57 0 30 May 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 25 1 0 27 May 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 45 549 0 22 May 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification Han Yue Chunhui Zhang Chuxu Zhang Hongfu Liu 35 31 0 19 May 2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks Jiaqiang Zhang Senzhang Wang Songcan Chen 16 44 0 10 May 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 31 1 0 26 Apr 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 31 219 0 25 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 30 31 0 11 Apr 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 32 11 0 29 Mar 2022
Neural Graph Matching for Pre-training Graph Neural Networks Yupeng Hou Binbin Hu Wayne Xin Zhao Qing Cui Jun Zhou Jianzhong Wen 20 8 0 03 Mar 2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels Wentao Zhang Yexin Wang Zhenbang You Meng Cao Ping-Chia Huang Jiulong Shan Zhi-Xin Yang Bin Cui AAML 38 19 0 02 Mar 2022
Improved Dual Correlation Reduction Network Yue Liu Sihang Zhou Xinwang Liu Wenxuan Tu Xihong Yang 26 22 0 25 Feb 2022
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs Rajarshi Das Ameya Godbole Ankita Rajaram Naik Elliot Tower Robin Jia Manzil Zaheer Hannaneh Hajishirzi Andrew McCallum 25 53 0 22 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng Jiang OOD 30 79 0 17 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 33 22 0 17 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 21 18 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 219 0 16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation Jun Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li 19 280 0 07 Feb 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 24 0 0 30 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 23 5 0 21 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 18 31 0 20 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 27 33 0 20 Jan 2022
Compact Graph Structure Learning via Mutual Information Compression Nian Liu Xiao Wang Lingfei Wu Yu Chen Xiaojie Guo Chuan Shi 28 45 0 14 Jan 2022
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang R. Devon Hjelm Xin Wang Vibhav Vineet Neel Joshi Antonio Torralba Stefanie Jegelka Ya-heng Song NoLa 13 68 0 12 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Gang Hua Changwen Zheng 21 11 0 11 Jan 2022
Cross-view Self-Supervised Learning on Heterogeneous Graph Neural Network via Bootstrapping M. Park SSL 19 4 0 10 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 25 0 0 05 Jan 2022
Deep Graph Clustering via Dual Correlation Reduction Yue Liu Wenxuan Tu Sihang Zhou Xinwang Liu Linxuan Song Xihong Yang En Zhu 22 202 0 29 Dec 2021