ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.05582
  4. Cited By
Contrastive Multi-View Representation Learning on Graphs

Contrastive Multi-View Representation Learning on Graphs

10 June 2020
Kaveh Hassani
Amir Hosein Khas Ahmadi
    SSL
ArXivPDFHTML

Papers citing "Contrastive Multi-View Representation Learning on Graphs"

50 / 214 papers shown
Title
A Virtual Reality Framework for Human-Robot Collaboration in Cloth
  Folding
A Virtual Reality Framework for Human-Robot Collaboration in Cloth Folding
Marco Moletta
Maciej K. Wozniak
Michael C. Welle
Danica Kragic
35
11
0
12 May 2023
Contrastive Graph Clustering in Curvature Spaces
Contrastive Graph Clustering in Curvature Spaces
Li Sun
Feiyang Wang
Junda Ye
Hao Peng
Philip S. Yu
29
17
0
05 May 2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
Gehang Zhang
Yu Bowen
Jiangxia Cao
Xinghua Zhang
Shuaiyi Nie
Chuan Zhou
Tingwen Liu
43
0
0
20 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin
You Li
Ning Gui
Zhuopeng Xu
Zhiwu Yu
SSL
28
6
0
15 Apr 2023
Decoupling anomaly discrimination and representation learning:
  self-supervised learning for anomaly detection on attributed graph
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
Yanming Hu
Chuan Chen
Bowen Deng
Yujing Lai
Hao Lin
Zibin Zheng
Jing Bian
29
1
0
11 Apr 2023
Abnormal Event Detection via Hypergraph Contrastive Learning
Abnormal Event Detection via Hypergraph Contrastive Learning
Bo Yan
Cheng Yang
Chuan Shi
Jiawei Liu
Xiaochen Wang
19
4
0
02 Apr 2023
Contrastive Learning Is Spectral Clustering On Similarity Graph
Contrastive Learning Is Spectral Clustering On Similarity Graph
Zhi-Hao Tan
Yifan Zhang
Jingqin Yang
Yang Yuan
SSL
54
18
0
27 Mar 2023
Preventing Dimensional Collapse of Incomplete Multi-View Clustering via
  Direct Contrastive Learning
Preventing Dimensional Collapse of Incomplete Multi-View Clustering via Direct Contrastive Learning
Kaiwu Zhang
Shiqiang Du
Bao-Yu Liu
Shengxia Gao
22
0
0
22 Mar 2023
MCoCo: Multi-level Consistency Collaborative Multi-view Clustering
MCoCo: Multi-level Consistency Collaborative Multi-view Clustering
Yi Zhou
Qinghai Zheng
Wen-biao Yan
Yifei Wang
Pengcheng Shi
Jihua Zhu
23
17
0
26 Feb 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
Yun Zhu
Jianhao Guo
Siliang Tang
27
28
0
24 Feb 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for
  Recommendation
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai
Chao Huang
Lianghao Xia
Xubin Ren
24
198
0
16 Feb 2023
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular
  Property Prediction
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction
Christopher Fifty
Joseph M. Paggi
Ehsan Amid
J. Leskovec
R. Dror
AI4CE
20
0
0
04 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive
  Learning
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
24
9
0
31 Jan 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders
  with Masking
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li
Tiandi Ye
Caihua Shan
Dongsheng Li
Ming Gao
SSL
36
30
0
29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive
  Masking and Trainable Corruption
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption
Chengyu Sun
SSL
32
1
0
28 Jan 2023
Skeleton-based Action Recognition through Contrasting Two-Stream
  Spatial-Temporal Networks
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks
Chen Pang
Xuequan Lu
Lei Lyu
36
20
0
27 Jan 2023
Cluster-guided Contrastive Graph Clustering Network
Cluster-guided Contrastive Graph Clustering Network
Xihong Yang
Yue Liu
Sihang Zhou
Siwei Wang
Wenxuan Tu
Qun Zheng
Xinwang Liu
Liming Fang
En Zhu
42
91
0
03 Jan 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
30
7
0
28 Dec 2022
Multi-modal Molecule Structure-text Model for Text-based Retrieval and
  Editing
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
Shengchao Liu
Weili Nie
Chengpeng Wang
Jiarui Lu
Zhuoran Qiao
Ling Liu
Jian Tang
Chaowei Xiao
Anima Anandkumar
31
153
0
21 Dec 2022
Data Augmentation on Graphs: A Technical Survey
Data Augmentation on Graphs: A Technical Survey
Jiajun Zhou
Chenxuan Xie
Shengbo Gong
Z. Wen
Xiangyu Zhao
Qi Xuan
Xiaoniu Yang
AI4TS
24
8
0
20 Dec 2022
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
Zhen Wang
K. Liang
Wenxuan Tu
Liangjun Li
Jingcan Duan
Cancan Chen
33
101
0
16 Dec 2022
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
Xumeng Gong
Cheng Yang
Chuan Shi
VLM
22
41
0
14 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs
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
Transductive Linear Probing: A Novel Framework for Few-Shot Node
  Classification
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
Zhen Tan
Song Wang
Kaize Ding
Jundong Li
Huan Liu
24
26
0
11 Dec 2022
Localized Contrastive Learning on Graphs
Localized Contrastive Learning on Graphs
Hengrui Zhang
Qitian Wu
Yu Wang
Shaofeng Zhang
Junchi Yan
Philip S. Yu
24
9
0
08 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
45
87
0
02 Dec 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Li Sun
Junda Ye
Hao Peng
Feiyang Wang
Philip S. Yu
CLL
19
31
0
30 Nov 2022
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure
  Awareness
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness
Jingcan Duan
Bin Xiao
Siwei Wang
Haifang Zhou
Xinwang Liu
AI4TS
22
10
0
28 Nov 2022
Self Supervised Clustering of Traffic Scenes using Graph Representations
Self Supervised Clustering of Traffic Scenes using Graph Representations
Maximilian Zipfl
Moritz Jarosch
J. Marius Zöllner
GNN
32
2
0
24 Nov 2022
Contrastive Knowledge Graph Error Detection
Contrastive Knowledge Graph Error Detection
Qinggang Zhang
Junnan Dong
Keyu Duan
Xiao Huang
Yezi Liu
Linchuan Xu
36
34
0
18 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao
Qianlong Wen
Mingxuan Ju
Chuxu Zhang
Yanfang Ye
40
20
0
12 Nov 2022
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive
  Learning
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
Qian Li
Chenyu You
Daling Wang
Shi Feng
Yifei Zhang
12
3
0
08 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Chang-Shu Liu
Yuwen Yang
Zhe Xie
Hongtao Lu
Yue Ding
39
4
0
01 Nov 2022
Line Graph Contrastive Learning for Link Prediction
Line Graph Contrastive Learning for Link Prediction
Zehua Zhang
Shilin Sun
Guixiang Ma
Caiming Zhong
17
27
0
25 Oct 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
18
39
0
19 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Yizhen Zheng
Yu Zheng
Xiaofei Zhou
Chen Gong
V. Lee
Shirui Pan
38
16
0
17 Oct 2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
Yishi Xu
Dongsheng Wang
Bo Chen
Ruiying Lu
Zhibin Duan
Mingyuan Zhou
44
20
0
16 Oct 2022
Variational Graph Generator for Multi-View Graph Clustering
Variational Graph Generator for Multi-View Graph Clustering
Jianpeng Chen
Yawen Ling
Jie Xu
Yazhou Ren
Shudong Huang
X. Pu
Zhifeng Hao
Philip S. Yu
Lifang He
33
5
0
13 Oct 2022
Contrastive Trajectory Similarity Learning with Dual-Feature Attention
Contrastive Trajectory Similarity Learning with Dual-Feature Attention
Yanchuan Chang
Jianzhong Qi
Keli Zhang
E. Tanin
24
33
0
11 Oct 2022
SDA: Simple Discrete Augmentation for Contrastive Sentence
  Representation Learning
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
Dongsheng Zhu
Zhenyu Mao
Jinghui Lu
Rui Zhao
Fei Tan
36
1
0
08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
86
61
0
07 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the
  Whole Picture
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
M. Jung
He Zhao
Joanna Dipnall
Belinda Gabbe
Lan Du
UQCV
EDL
57
12
0
06 Oct 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Nian Liu
Xiao Wang
Deyu Bo
Chuan Shi
Jian Pei
20
62
0
05 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge
  Distillation
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation
Lirong Wu
Yufei Huang
Haitao Lin
Zicheng Liu
Tianyu Fan
Stan Z. Li
SSL
56
5
0
05 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
32
48
0
02 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Xia Hu
Neil Shah
GNN
55
36
0
30 Sep 2022
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text
  Pre-training
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training
Bin Shan
Weichong Yin
Yu Sun
Hao Tian
Hua Wu
Haifeng Wang
VLM
27
19
0
30 Sep 2022
Efficient block contrastive learning via parameter-free meta-node
  approximation
Efficient block contrastive learning via parameter-free meta-node approximation
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
29
3
0
28 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph Soft-Contrastive Learning via Neighborhood Ranking
Zhiyuan Ning
P. Wang
Pengyang Wang
Ziyue Qiao
Wei Fan
Denghui Zhang
Yi Du
Yuanchun Zhou
23
14
0
28 Sep 2022
High-order Multi-view Clustering for Generic Data
High-order Multi-view Clustering for Generic Data
Erlin Pan
Zhao Kang
37
37
0
22 Sep 2022
Previous
12345
Next