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Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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
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
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
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
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
422
15,066
0
07 Jun 2017
Variational Graph Auto-Encoders
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)
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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