Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering

19 October 2022

Papers citing "Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering"

34 / 34 papers shown

Title
Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks Jiafan Li Jiaqi Zhu Liang Chang Yilin Li Miaomiao Li Yang Wang Hongan Wang 76 0 0 12 May 2025
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning Ruobing Jiang Yacong Li Haobing Liu Yanwei Yu 97 0 0 18 Mar 2025
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks Yihong Ma Ning Yan Jiayu Li Masood S. Mortazavi Nitesh Chawla 74 18 0 23 Oct 2023
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 71 31 0 11 Apr 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation Jun Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li 60 291 0 07 Feb 2022
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 195 138 0 29 Oct 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 61 198 0 28 Oct 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 42 4 0 15 Jun 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units Wei-Ning Hsu Benjamin Bolte Yao-Hung Hubert Tsai Kushal Lakhotia Ruslan Salakhutdinov Abdel-rahman Mohamed SSL 171 2,966 0 14 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 78 476 0 10 Jun 2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning Xiao Wang Nian Liu Hui-jun Han C. Shi SSL 65 388 0 19 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 63 254 0 16 May 2021
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks Claudio Bellei Hussain Alattas N. Kaaniche GNN 46 9 0 05 Apr 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 129 167 0 15 Feb 2021
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 81 1,110 0 27 Oct 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 88 786 0 08 Sep 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 153 562 0 27 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 222 956 0 17 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 230 1,302 0 10 Jun 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network Yaming Yang Ziyu Guan Jianxin Li Wei Zhao Jiangtao Cui Quan Wang GNN 66 176 0 27 May 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 276 1,203 0 03 Mar 2020
Unifying Graph Convolutional Neural Networks and Label Propagation Hongwei Wang J. Leskovec GNN 86 170 0 17 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 113 580 0 04 Feb 2020
Heterogeneous Deep Graph Infomax Yuxiang Ren Bo Liu Chao Huang Peng Dai Liefeng Bo Jiawei Zhang 53 106 0 19 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 171 333 0 18 Nov 2019
Unsupervised Attributed Multiplex Network Embedding Chanyoung Park Donghyun Kim Jiawei Han Hwanjo Yu 54 256 0 15 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 131 974 0 06 Nov 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 143 862 0 31 Jul 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 103 276 0 28 Feb 2019
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 127 2,385 0 27 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 317 2,662 0 20 Aug 2018
Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze SSL 88 1,898 0 15 Jul 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 297 2,148 0 22 Jun 2018
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 623 29,051 0 09 Sep 2016