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Graph Representation Learning via Graphical Mutual Information
  Maximization

Graph Representation Learning via Graphical Mutual Information Maximization

4 February 2020
Zhen Peng
Wenbing Huang
Minnan Luo
Q. Zheng
Yu Rong
Tingyang Xu
Junzhou Huang
    SSL
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Papers citing "Graph Representation Learning via Graphical Mutual Information Maximization"

50 / 208 papers shown
Title
Jointly Contrastive Representation Learning on Road Network and
  Trajectory
Jointly Contrastive Representation Learning on Road Network and Trajectory
Zhenyu Mao
Ziyue Li
Dedong Li
Lei Bai
Rui Zhao
AI4TS
28
48
0
14 Sep 2022
Structure-Preserving Graph Representation Learning
Structure-Preserving Graph Representation Learning
Ruiyi Fang
Liangjiang Wen
Zhao Kang
Jianzhuang Liu
21
22
0
02 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed
  Subgraphs
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
Dongkwan Kim
Jiho Jin
Jaimeen Ahn
Alice H. Oh
32
3
0
01 Sep 2022
Relational Self-Supervised Learning on Graphs
Relational Self-Supervised Learning on Graphs
Namkyeong Lee
Dongmin Hyun
Junseok Lee
Chanyoung Park
SSL
11
22
0
21 Aug 2022
ARIEL: Adversarial Graph Contrastive Learning
ARIEL: Adversarial Graph Contrastive Learning
Shengyu Feng
Baoyu Jing
Yada Zhu
Hanghang Tong
18
7
0
15 Aug 2022
Enhancing Graph Contrastive Learning with Node Similarity
Enhancing Graph Contrastive Learning with Node Similarity
Hongliang Chi
Yao Ma
SSL
37
3
0
13 Aug 2022
Motif-based Graph Representation Learning with Application to Chemical
  Molecules
Motif-based Graph Representation Learning with Application to Chemical Molecules
Yifei Wang
Shiyang Chen
Guobin Chen
Ethan Shurberg
Hang Liu
Pengyu Hong
GNN
25
13
0
09 Aug 2022
Self-Supervised Hypergraph Transformer for Recommender Systems
Self-Supervised Hypergraph Transformer for Recommender Systems
Lianghao Xia
Chao Huang
Chuxu Zhang
22
109
0
28 Jul 2022
Generative Subgraph Contrast for Self-Supervised Graph Representation
  Learning
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
Yuehui Han
Le Hui
Haobo Jiang
J. Qian
Jin Xie
SSL
21
13
0
25 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised
  Structure Refinement for Robust GNN
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
41
63
0
30 Jun 2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge
TeKo: Text-Rich Graph Neural Networks with External Knowledge
Zhizhi Yu
Di Jin
Jianguo Wei
Ziyang Liu
Yue Shang
Yun Xiao
Jiawei Han
Lingfei Wu
26
4
0
15 Jun 2022
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised
  GNN Architecture Search
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search
Yingguang Yang
Renyu Yang
Yangyang Li
Kai Cui
Zhiqin Yang
Yue Wang
Jie Xu
Haiyong Xie
22
45
0
14 Jun 2022
Semi-Supervised Hierarchical Graph Classification
Semi-Supervised Hierarchical Graph Classification
Jia Li
Yongfeng Huang
Heng Chang
Yu Rong
29
27
0
11 Jun 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on
  Hypergraphs
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Dongjin Lee
Kijung Shin
30
36
0
09 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
36
90
0
09 Jun 2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs
Decoupled Self-supervised Learning for Non-Homophilous Graphs
Teng Xiao
Zhengyu Chen
Zhimeng Guo
Zeyang Zhuang
Suhang Wang
BDL
SSL
23
18
0
07 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
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
39
26
0
06 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely
  Efficient Approach with Group Discrimination
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Yizhen Zheng
Shirui Pan
Vincent C. S. Lee
Yu Zheng
Philip S. Yu
14
95
0
03 Jun 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph
  Representation Learning
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Ling Yang
linda Qiao
38
12
0
31 May 2022
COIN: Co-Cluster Infomax for Bipartite Graphs
COIN: Co-Cluster Infomax for Bipartite Graphs
Baoyu Jing
Yuchen Yan
Yada Zhu
Hanghang Tong
24
21
0
31 May 2022
What's Behind the Mask: Understanding Masked Graph Modeling for Graph
  Autoencoders
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
Jintang Li
Ruofan Wu
Wangbin Sun
Liang Chen
Sheng Tian
Liang Zhu
Changhua Meng
Zibin Zheng
Weiqiang Wang
SSL
24
79
0
20 May 2022
Hyperspectral Image Classification With Contrastive Graph Convolutional
  Network
Hyperspectral Image Classification With Contrastive Graph Convolutional Network
Wentao Yu
Sheng Wan
Guangyu Li
Jian Yang
Chen Gong
35
25
0
11 May 2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly
  Detection on Attributed Networks
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks
Jiaqiang Zhang
Senzhang Wang
Songcan Chen
13
44
0
10 May 2022
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive
  Neighborhood Aggregation
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation
Yuansheng Wang
Wangbin Sun
Kun Xu
Zulun Zhu
Liang Chen
Zibin Zheng
19
4
0
02 May 2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally
  Contrastive Learning
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Cuiying Huo
Dongxiao He
Peican Zhu
Di Jin
Jianwu Dang
Weixiong Zhang
Witold Pedrycz
Lingfei Wu
SSL
25
3
0
30 Apr 2022
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive
  Learning
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
Yun Zhu
Jianhao Guo
Fei Wu
Siliang Tang
18
22
0
29 Apr 2022
Graph Ordering Attention Networks
Graph Ordering Attention Networks
Michail Chatzianastasis
J. Lutzeyer
George Dasoulas
Michalis Vazirgiannis
GNN
25
18
0
11 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Haonan Wang
Jieyu Zhang
Qi Zhu
Wei Huang
30
31
0
11 Apr 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning Methods
Shima Khoshraftar
A. An
GNN
AI4TS
27
108
0
04 Apr 2022
Weakly-supervised Temporal Path Representation Learning with Contrastive
  Curriculum Learning -- Extended Version
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version
Sean Bin Yang
Chenjuan Guo
Jilin Hu
B. Yang
Jiangtao Tang
Christian S. Jensen
23
20
0
30 Mar 2022
On Understanding and Mitigating the Dimensional Collapse of Graph
  Contrastive Learning: a Non-Maximum Removal Approach
On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach
Jiawei Sun
Ruoxin Chen
Jie Li
Chentao Wu
Yue Ding
Junchi Yan
29
0
0
24 Mar 2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual
  Information Maximization
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
Wei Dong
Junsheng Wu
Yi-wei Luo
Zongyuan Ge
Peifeng Wang
SSL
31
19
0
23 Mar 2022
Unsupervised Network Embedding Beyond Homophily
Unsupervised Network Embedding Beyond Homophily
Zhiqiang Zhong
Guadalupe Gonzalez
Daniele Grattarola
Jun Pang
OODD
GNN
19
6
0
21 Mar 2022
Supervised Contrastive Learning with Structure Inference for Graph
  Classification
Supervised Contrastive Learning with Structure Inference for Graph Classification
Hao Jia
Junzhong Ji
Minglong Lei
6
11
0
15 Mar 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph
  Contrastive Learning
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
Kaize Ding
Yancheng Wang
Yingzhen Yang
Huan Liu
25
22
0
17 Feb 2022
Self-Supervised Representation Learning via Latent Graph Prediction
Self-Supervised Representation Learning via Latent Graph Prediction
Yaochen Xie
Zhao Xu
Shuiwang Ji
SSL
22
30
0
16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun-Xiong Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
0
16 Feb 2022
Adversarial Graph Contrastive Learning with Information Regularization
Adversarial Graph Contrastive Learning with Information Regularization
Shengyu Feng
Baoyu Jing
Yada Zhu
Hanghang Tong
22
65
0
14 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction
Geometric Graph Representation Learning via Maximizing Rate Reduction
Xiaotian Han
Zhimeng Jiang
Ninghao Liu
Qingquan Song
Jundong Li
Xia Hu
28
21
0
13 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched
  Contrastive Learning
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
Zihan Lin
Changxin Tian
Yupeng Hou
Wayne Xin Zhao
17
418
0
13 Feb 2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale
  Contrastive Learning Approach
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach
Yu Zheng
Ming Jin
Yixin Liu
Lianhua Chi
Khoa T. Phan
Shirui Pan
Yi-Ping Phoebe Chen
18
13
0
11 Feb 2022
Graph Representation Learning via Aggregation Enhancement
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman
Chaim Baskin
Evgenii Zheltonozhskii
Almog David
Ron Banner
A. Mendelson
24
0
0
30 Jan 2022
Link Prediction with Contextualized Self-Supervision
Link Prediction with Contextualized Self-Supervision
Daokun Zhang
Jie Yin
Philip S. Yu
19
6
0
25 Jan 2022
Learning Graph Augmentations to Learn Graph Representations
Learning Graph Augmentations to Learn Graph Representations
Kaveh Hassani
Amir Hosein Khas Ahmadi
48
21
0
24 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation
  Learning: A Graph Information Bottleneck Perspective
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
17
5
0
21 Jan 2022
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
Jiahong Liu
Menglin Yang
Min Zhou
Shanshan Feng
Philippe Fournier-Viger
SSL
25
22
0
21 Jan 2022
Fair Node Representation Learning via Adaptive Data Augmentation
Fair Node Representation Learning via Adaptive Data Augmentation
Öykü Deniz Köse
Yanning Shen
12
31
0
21 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Yayong Li
Jie Yin
Ling-Hao Chen
19
32
0
20 Jan 2022
Dual Space Graph Contrastive Learning
Dual Space Graph Contrastive Learning
Haoran Yang
Hongxu Chen
Shirui Pan
Lin Li
Philip S. Yu
Guandong Xu
24
52
0
19 Jan 2022
Towards Unsupervised Deep Graph Structure Learning
Towards Unsupervised Deep Graph Structure Learning
Yixin Liu
Yu Zheng
Daokun Zhang
Hongxu Chen
Hao Peng
Shirui Pan
22
183
0
17 Jan 2022
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