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2503.13911
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Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
18 March 2025
Ruobing Jiang
Yacong Li
Haobing Liu
Yanwei Yu
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Papers citing
"Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning"
31 / 31 papers shown
Title
Incorporating Higher-order Structural Information for Graph Clustering
Qiankun Li
Haobing Liu
Ruobing Jiang
Tingting Wang
GNN
73
2
0
17 Mar 2024
Information Recovery-Driven Deep Incomplete Multiview Clustering Network
Chengliang Liu
Jie Wen
Zhihao Wu
Xiaoling Luo
Chao Huang
Yong-mei Xu
50
43
0
02 Apr 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
Jianxiang Yu
Qingqing Ge
Xiang Li
Aoying Zhou
44
8
0
28 Dec 2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
Xinyu Fu
Irwin King
65
18
0
23 Nov 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
40
39
0
19 Oct 2022
Heterogeneous Graph Contrastive Multi-view Learning
Zehong Wang
Qi Li
Donghua Yu
Xiaolong Han
Xiaohong Gao
Shigen Shen
65
31
0
01 Oct 2022
Multiplex Heterogeneous Graph Convolutional Network
YU Peng
Chaofan Fu
Yanwei Yu
Chao Huang
Zhongying Zhao
Junyu Dong
50
67
0
12 Aug 2022
Simple and Efficient Heterogeneous Graph Neural Network
Xiaocheng Yang
Yurui Lai
Shirui Pan
Xiaochun Ye
Xiaochun Ye
92
127
0
06 Jul 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders
Zhenyu Hou
Xiao Liu
Yukuo Cen
Yuxiao Dong
Hongxia Yang
C. Wang
Jie Tang
SSL
69
559
0
22 May 2022
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
Xiao Wang
Nian Liu
Hui-jun Han
C. Shi
SSL
54
379
0
19 May 2021
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
Xiang Li
Danhao Ding
B. Kao
Yizhou Sun
N. Mamoulis
91
47
0
18 Dec 2020
Deep Fusion Clustering Network
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Xifeng Guo
Zhiping Cai
En Zhu
Jieren Cheng
52
175
0
15 Dec 2020
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
55
558
0
01 Jul 2020
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
105
1,604
0
15 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
205
1,292
0
10 Jun 2020
Deep Graph Contrastive Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
SSL
59
804
0
07 Jun 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Yaming Yang
Ziyu Guan
Jianxin Li
Wei Zhao
Jiangtao Cui
Quan Wang
GNN
46
175
0
27 May 2020
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
78
1,313
0
20 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
277
18,607
0
13 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
93
858
0
05 Feb 2020
Structural Deep Clustering Network
Deyu Bo
Xiao Wang
C. Shi
Meiqi Zhu
Emiao Lu
Peng Cui
GNN
63
488
0
05 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
107
572
0
04 Feb 2020
Unsupervised Attributed Multiplex Network Embedding
Chanyoung Park
Donghyun Kim
Jiawei Han
Hwanjo Yu
52
254
0
15 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
128
12,007
0
13 Nov 2019
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
123
958
0
06 Nov 2019
Representation Learning for Attributed Multiplex Heterogeneous Network
Yukuo Cen
Xu Zou
Jianwei Zhang
Hongxia Yang
Jingren Zhou
Jie Tang
GNN
54
429
0
05 May 2019
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
110
2,368
0
27 Sep 2018
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
154
1,264
0
12 Jan 2018
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
422
15,066
0
07 Jun 2017
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
111
3,559
0
21 Nov 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
242
5,502
0
23 Nov 2015
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