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Supervised Graph Contrastive Learning for Gene Regulatory Networks
v1v2v3v4 (latest)

Supervised Graph Contrastive Learning for Gene Regulatory Networks

23 May 2025
Sho Oshima
Yuji Okamoto
Taisei Tosaki
Ryosuke Kojima
Yasushi Okuno
ArXiv (abs)PDFHTML

Papers citing "Supervised Graph Contrastive Learning for Gene Regulatory Networks"

11 / 11 papers shown
Title
MuSe-GNN: Learning Unified Gene Representation From Multimodal
  Biological Graph Data
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph DataNeural Information Processing Systems (NeurIPS), 2023
Tianyu Liu
Yuge Wang
Rex Ying
Hongyu Zhao
233
31
0
29 Sep 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
462
252
0
11 Apr 2023
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network
  Fraud Detection
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud DetectionIEEE Transactions on Computational Social Systems (IEEE TCSS), 2023
Xinxin Hu
Haotian Chen
Hongchang Chen
Shuxin Liu
Xing Li
Shibo Zhang
Yahui Wang
Xiangyang Xue
GNN
171
39
0
28 Mar 2023
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
154
1
0
24 Mar 2022
Graph Contrastive Learning Automated
Graph Contrastive Learning AutomatedInternational Conference on Machine Learning (ICML), 2021
Yuning You
Tianlong Chen
Yang Shen
Zinan Lin
263
573
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
277
307
0
16 May 2021
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive AugmentationThe Web Conference (WWW), 2020
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
392
1,316
0
27 Oct 2020
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised ClassificationInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
557
970
0
08 Sep 2020
Deep Graph Contrastive Representation Learning
Deep Graph Contrastive Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
SSL
291
972
0
07 Jun 2020
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization FrameworkKnowledge Discovery and Data Mining (KDD), 2019
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
904
7,981
0
25 Jul 2019
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
483
4,081
0
21 Nov 2016
1