Graph Representation Learning via Graphical Mutual Information Maximization

4 February 2020

Papers citing "Graph Representation Learning via Graphical Mutual Information Maximization"

50 / 208 papers shown

Title
Perfect Alignment May be Poisonous to Graph Contrastive Learning Jingyu Liu Huayi Tang Yong Liu 26 2 0 06 Oct 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 26 19 0 20 Sep 2023
Layer-wise training for self-supervised learning on graphs Oscar Pina Verónica Vilaplana SSL GNN 32 1 0 04 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 24 2 0 31 Aug 2023
MOLE: MOdular Learning FramEwork via Mutual Information Maximization Tianchao Li Yulong Pei 27 0 0 15 Aug 2023
Homophily-enhanced Structure Learning for Graph Clustering Ming Gu Gaoming Yang Sheng Zhou Ning Ma Jiawei Chen Qiaoyu Tan Meihan Liu Jiajun Bu 30 12 0 10 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 27 3 0 07 Aug 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 26 8 0 29 Jul 2023
Entropy Neural Estimation for Graph Contrastive Learning Yixuan Ma Xiaolin Zhang Peng Zhang Kun Zhan SSL 21 14 0 26 Jul 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 24 22 0 16 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 23 7 0 12 Jun 2023
Subgraph Networks Based Contrastive Learning Jinhuan Wang Jiafei Shao Zeyu Wang Shanqing Yu Qi Xuan Xiaoniu Yang 25 1 0 06 Jun 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 38 28 0 29 May 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao Guansong Pang 19 24 0 29 May 2023
GIMM: InfoMin-Max for Automated Graph Contrastive Learning Xin Xiong F. Shen Xiangyu Wang School of Materials Science 8 0 0 27 May 2023
Disentangled Contrastive Collaborative Filtering Xubin Ren Lianghao Xia Jiashu Zhao Dawei Yin Chao Huang 29 75 0 04 May 2023
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network Nian Liu Xiao Wang Hui-jun Han Chuan Shi SSL 20 5 0 24 Apr 2023
Capturing Fine-grained Semantics in Contrastive Graph Representation Learning Lin Shu Chuan Chen Zibin Zheng 21 0 0 23 Apr 2023
Hybrid Augmented Automated Graph Contrastive Learning Yifu Chen Qianqian Ren Liu Yong 33 1 0 24 Mar 2023
Feature propagation as self-supervision signals on graphs Oscar Pina Verónica Vilaplana SSL 12 1 0 15 Mar 2023
Graph Contrastive Learning under Heterophily via Graph Filters Wenhan Yang Baharan Mirzasoleiman 19 2 0 11 Mar 2023
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network Yumeng Song Yu Gu Tianyi Li Jianzhong Qi Zhenghao Liu Christian S. Jensen Ge Yu SSL 32 15 0 10 Mar 2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework Zhenshuo Zhang Yun Zhu Haizhou Shi Siliang Tang 16 1 0 09 Mar 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 18 198 0 16 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 19 135 0 16 Feb 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network Wenxuan Tu Bin Xiao Xinwang Liu Sihang Zhou Zhiping Cai Jieren Cheng 31 5 0 15 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 13 2 0 09 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
STERLING: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing Yuchen Yan Kaize Ding Chanyoung Park Yada Zhu Huan Liu Hanghang Tong SSL 26 18 0 25 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation Taewook Ko Y. Choi Chong-Kwon Kim 26 3 0 12 Jan 2023
Coarse-to-Fine Contrastive Learning on Graphs Peiyao Zhao Yuangang Pan Xin Li Xu Chen Ivor W. Tsang L. Liao SSL 34 5 0 13 Dec 2022
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax Yang Liu Yu Rong Zhuoning Guo Nuo Chen Tingyang Xu Fugee Tsung Jia Li 39 11 0 12 Dec 2022
Localized Contrastive Learning on Graphs Hengrui Zhang Qitian Wu Yu Wang Shaofeng Zhang Junchi Yan Philip S. Yu 22 9 0 08 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 37 87 0 02 Dec 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 25 0 0 29 Nov 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 36 70 0 25 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
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs Zimin Wan Deqing Wang Xuehua Ming Fuzhen Zhuang Chenguang Du Ting Jiang Zhengyang Zhao 23 0 0 20 Nov 2022
Contrastive Knowledge Graph Error Detection Qinggang Zhang Junnan Dong Keyu Duan Xiao Huang Yezi Liu Linchuan Xu 30 34 0 18 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
Federated Graph Representation Learning using Self-Supervision Susheel Suresh Daniel Godbout Arko Provo Mukherjee Mayank Shrivastava Jennifer Neville Pan Li OOD FedML 38 2 0 27 Oct 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 14 3 0 25 Oct 2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning Jun Wang Weixun Li Changyu Hou Xin Tang Yixuan Qiao Rui Fang Pengyong Li Peng Gao Guowang Xie 30 1 0 21 Oct 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering Yaming Yang Ziyu Guan Zhe Wang Wei Zhao Cai Xu Weigang Lu Jianbin Huang SSL 18 39 0 19 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 25 16 0 17 Oct 2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding Yishi Xu Dongsheng Wang Bo Chen Ruiying Lu Zhibin Duan Mingyuan Zhou 38 20 0 16 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 48 5 0 05 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 32 48 0 02 Oct 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking Zhiyuan Ning P. Wang Pengyang Wang Ziyue Qiao Wei Fan Denghui Zhang Yi Du Yuanchun Zhou 18 13 0 28 Sep 2022
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 35 15 0 14 Sep 2022