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. 2011.07267
  4. Cited By
Graph-Based Neural Network Models with Multiple Self-Supervised
  Auxiliary Tasks
v1v2 (latest)

Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks

Pattern Recognition Letters (Pattern Recognit. Lett.), 2020
14 November 2020
Franco Manessi
A. Rozza
    SSL
ArXiv (abs)PDFHTML

Papers citing "Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks"

21 / 21 papers shown
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
Prajit Sengupta
Islem Rekik
AI4CE
178
0
0
02 Sep 2025
Global-Local Graph Neural Networks for Node-Classification
Global-Local Graph Neural Networks for Node-Classification
Moshe Eliasof
Eran Treister
417
9
0
16 Jun 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang
Wei Zhou
Yifei Sun
Kaiqiao Han
Lvbin Ma
Yang Yang
476
12
0
07 May 2024
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
Xiang Tao
Liang Wang
Qiang Liu
Shu Wu
Liang Wang
184
20
0
24 Apr 2024
HealthGAT: Node Classifications in Electronic Health Records using Graph
  Attention Networks
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks
Fahmida Liza Piya
Mehak Gupta
Rahmatollah Beheshti
252
5
0
26 Mar 2024
Unifying Graph Contrastive Learning via Graph Message Augmentation
Unifying Graph Contrastive Learning via Graph Message AugmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Ziyan Zhang
Bo Jiang
Jin Tang
Bin Luo
341
2
0
08 Jan 2024
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Qingming Huang
258
68
0
22 Dec 2023
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt
Mouxiang Chen
Zemin Liu
Chenghao Liu
Jundong Li
Qiheng Mao
Jianling Sun
AAML
323
15
0
23 Oct 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 CorruptionKnowledge-Based Systems (KBS), 2023
Chengyu Sun
SSL
247
3
0
28 Jan 2023
Generative Subgraph Contrast for Self-Supervised Graph Representation
  Learning
Generative Subgraph Contrast for Self-Supervised Graph Representation LearningEuropean Conference on Computer Vision (ECCV), 2022
Yuehui Han
Le Hui
Qianliang Wu
J. Qian
Jin Xie
SSL
162
17
0
25 Jul 2022
Graph Attention Multi-Layer Perceptron
Graph Attention Multi-Layer PerceptronKnowledge Discovery and Data Mining (KDD), 2022
Wentao Zhang
Ziqi Yin
Zeang Sheng
Yan Zhao
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
264
140
0
09 Jun 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders
GraphMAE: Self-Supervised Masked Graph AutoencodersKnowledge Discovery and Data Mining (KDD), 2022
Zhenyu Hou
Xiao Liu
Yukuo Cen
Yuxiao Dong
Hongxia Yang
C. Wang
Jie Tang
SSL
820
856
0
22 May 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
365
0
0
30 Jan 2022
Link Prediction with Contextualized Self-Supervision
Link Prediction with Contextualized Self-SupervisionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Daokun Zhang
Jie Yin
Philip S. Yu
250
12
0
25 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated
  Data Augmentations
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data AugmentationsWeb Search and Data Mining (WSDM), 2022
Yuning You
Tianlong Chen
Zinan Lin
Yang Shen
SSL
265
75
0
04 Jan 2022
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
374
51
0
24 Aug 2021
Graph Attention MLP with Reliable Label Utilization
Graph Attention MLP with Reliable Label Utilization
Wentao Zhang
Ziqi Yin
Zeang Sheng
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNN
241
5
0
23 Aug 2021
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable
  Framework
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable FrameworkIEEE International Symposium on Multimedia (ISM), 2021
A. Elwood
Alberto Gasparin
A. Rozza
183
6
0
29 Jul 2021
Graph Contrastive Learning Automated
Graph Contrastive Learning AutomatedInternational Conference on Machine Learning (ICML), 2021
Yuning You
Tianlong Chen
Yang Shen
Zinan Lin
541
600
0
10 Jun 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or
  Predictive
Self-supervised Learning on Graphs: Contrastive, Generative,or PredictiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Lirong Wu
Haitao Lin
Zhangyang Gao
Cheng Tan
Stan.Z.Li
SSL
386
315
0
16 May 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Xiwei Xu
Philip S. Yu
SSL
501
715
0
27 Feb 2021
1
Page 1 of 1