ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.07409
  4. Cited By
Dual Space Graph Contrastive Learning
v1v2 (latest)

Dual Space Graph Contrastive Learning

The Web Conference (WWW), 2022
19 January 2022
Haoran Yang
Hongxu Chen
Shirui Pan
Lin Li
Philip S. Yu
Guandong Xu
ArXiv (abs)PDFHTML

Papers citing "Dual Space Graph Contrastive Learning"

20 / 20 papers shown
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for
  Text-Attributed Graph Contrastive Learning
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
Haoran Yang
Xiangyu Zhao
Sirui Huang
Qing Li
Guandong Xu
265
6
0
02 Sep 2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes
Shuaike Xu
Xiaolin Zhang
Peng Zhang
Kun Zhan
385
2
0
02 Jul 2024
Why are hyperbolic neural networks effective? A study on hierarchical
  representation capability
Why are hyperbolic neural networks effective? A study on hierarchical representation capability
Shicheng Tan
Huan-jing Zhao
Shu Zhao
Yanping Zhang
284
2
0
04 Feb 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for
  Alleviating Over-squashing
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashingIndustrial Conference on Data Mining (IDM), 2023
Li Sun
Zhenhao Huang
Hua Wu
Junda Ye
Hao Peng
Zhengtao Yu
Philip S. Yu
277
21
0
23 Jan 2024
Contrastive Sequential Interaction Network Learning on Co-Evolving
  Riemannian Spaces
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian SpacesInternational Journal of Machine Learning and Cybernetics (IJMLC), 2023
Li Sun
Junda Ye
Jiawei Zhang
Yong Yang
Mingsheng Liu
Feiyang Wang
Philip S. Yu
279
8
0
02 Jan 2024
GraphGPT: Graph Instruction Tuning for Large Language Models
GraphGPT: Graph Instruction Tuning for Large Language ModelsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Jiabin Tang
Yuhao Yang
Wei Wei
Lei Shi
Lixin Su
Suqi Cheng
D. Yin
Chao Huang
448
299
0
19 Oct 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph ClassificationInternational Conference on Machine Learning (ICML), 2023
Nan Yin
Libin Shen
Mengzhu Wang
L. Lan
Zeyu Ma
C. L. Philip Chen
Xiansheng Hua
Xiao Luo
611
61
0
08 Jun 2023
Subgraph Networks Based Contrastive Learning
Subgraph Networks Based Contrastive Learning
Jinhuan Wang
Jiafei Shao
Zeyu Wang
Shanqing Yu
Qi Xuan
Xiaoniu Yang
244
1
0
06 Jun 2023
Contrastive Graph Clustering in Curvature Spaces
Contrastive Graph Clustering in Curvature SpacesInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Li Sun
Feiyang Wang
Junda Ye
Hao Peng
Philip S. Yu
323
26
0
05 May 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation LearningNeural Networks (Neural Netw.), 2023
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNNAI4TS
572
283
0
11 Apr 2023
Heterogeneous Social Event Detection via Hyperbolic Graph
  Representations
Heterogeneous Social Event Detection via Hyperbolic Graph RepresentationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Zitai Qiu
Hongzhi Zhang
Jian Yang
Xing Su
Charu C. Aggarwal
198
8
0
20 Feb 2023
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
MA-GCL: Model Augmentation Tricks for Graph Contrastive LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Xumeng Gong
Cheng Yang
Chuan Shi
VLM
258
66
0
14 Dec 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Self-Supervised Continual Graph Learning in Adaptive Riemannian SpacesAAAI Conference on Artificial Intelligence (AAAI), 2022
Li Sun
Junda Ye
Hao Peng
Feiyang Wang
Philip S. Yu
CLL
247
46
0
30 Nov 2022
Self-supervised Representation Learning on Electronic Health Records
  with Graph Kernel Infomax
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
Hao-Ren Yao
Nairen Cao
Katina Russell
D. Chang
O. Frieder
Jeremy T. Fineman
SSL
392
4
0
01 Sep 2022
A Self-supervised Riemannian GNN with Time Varying Curvature for
  Temporal Graph Learning
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph LearningInternational Conference on Information and Knowledge Management (CIKM), 2022
Li Sun
Junda Ye
Hao Peng
Philip S. Yu
313
36
0
30 Aug 2022
KRACL: Contrastive Learning with Graph Context Modeling for Sparse
  Knowledge Graph Completion
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph CompletionThe Web Conference (WWW), 2022
Zhaoxuan Tan
Zilong Chen
Shangbin Feng
Qingyue Zhang
Qinghua Zheng
Jundong Li
Minnan Luo
378
49
0
16 Aug 2022
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings
  through Graph Contrastive Learning
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive LearningInformation Sciences (Inf. Sci.), 2022
Haoran Yang
Xiangyu Zhao
Muyang Li
Hongxu Chen
Guandong Xu
FedML
244
5
0
24 Jul 2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive
  Learning
Generating Counterfactual Hard Negative Samples for Graph Contrastive LearningThe Web Conference (WWW), 2022
Haoran Yang
Hongxu Chen
Sixiao Zhang
Xiangguo Sun
Qian Li
Xiangyu Zhao
Guandong Xu
SSL
462
33
0
01 Jul 2022
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on GraphsInternational Conference on Machine Learning (ICML), 2020
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
935
1,632
0
10 Jun 2020
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
525
816
0
28 Oct 2019
1
Page 1 of 1