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Large-Scale Representation Learning on Graphs via Bootstrapping

Large-Scale Representation Learning on Graphs via Bootstrapping

12 February 2021
S. Thakoor
Corentin Tallec
M. G. Azar
Mehdi Azabou
Eva L. Dyer
Rémi Munos
Petar Velivcković
Michal Valko
    SSL
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Papers citing "Large-Scale Representation Learning on Graphs via Bootstrapping"

50 / 132 papers shown
Title
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Zhiyuan Ning
Pengfei Wang
Ziyue Qiao
Pengyang Wang
Yuanchun Zhou
140
0
0
08 May 2025
H$^3$GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
H3^33GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
Rui Xue
Tianfu Wu
AI4CE
37
0
0
16 Apr 2025
Node Embeddings via Neighbor Embeddings
Node Embeddings via Neighbor Embeddings
Jan Niklas Böhm
Marius Keute
Alica Guzmán
Sebastian Damrich
Andrew Draganov
D. Kobak
GNN
57
0
0
31 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
94
0
0
16 Mar 2025
Enhanced Soups for Graph Neural Networks
Joseph Zuber
Aishwarya Sarkar
Joseph Jennings
Ali Jannesari
45
0
0
14 Mar 2025
A Binary Classification Social Network Dataset for Graph Machine Learning
Adnan Ali
Jinglong Li
Huanhuan Chen
AlMotasem Bellah Al Ajlouni
GNN
57
0
0
04 Mar 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou S. Sangare
Nicolas Dunou
Jhony H. Giraldo
Fragkiskos D. Malliaros
SSL
62
0
0
28 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
43
0
0
22 Feb 2025
Closer through commonality: Enhancing hypergraph contrastive learning with shared groups
Closer through commonality: Enhancing hypergraph contrastive learning with shared groups
Daeyoung Roh
Donghee Han
Daehee Kim
Keejun Han
Mun Yi
60
0
0
12 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Srinitish Srinivasan
Omkumar CU
SSL
BDL
44
0
0
02 Feb 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
45
0
0
17 Jan 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit
PyG-SSL: A Graph Self-Supervised Learning Toolkit
Lecheng Zheng
Baoyu Jing
Zihao Li
Zhichen Zeng
Tianxin Wei
...
Lihui Liu
Dongqi Fu
Jiaxuan You
Hanghang Tong
Jingrui He
56
5
0
31 Dec 2024
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
Zehong Wang
Zheyuan Zhang
Tianyi Ma
Nitesh V. Chawla
Chuxu Zhang
Yanfang Ye
AI4CE
79
0
0
21 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
Jianqing Liang
Xinkai Wei
Min Chen
Zhiqiang Wang
Jiye Liang
73
0
0
18 Dec 2024
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive
  Learning Model
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
Yujun Li
Hongyuan Zhang
Yuan Yuan
70
0
0
15 Dec 2024
MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild
Xi Fang
Jiankun Wang
X. Cai
Shangqian Chen
Shuwen Yang
Lin Yao
Linfeng Zhang
Guolin Ke
Linfeng Zhang
Guolin Ke
50
1
0
17 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary
GFT: Graph Foundation Model with Transferable Tree Vocabulary
Zehong Wang
Zheyuan Zhang
Nitesh V. Chawla
Chuxu Zhang
Yanfang Ye
41
9
0
09 Nov 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Yunhui Liu
Tieke He
Tao Zheng
Jianhua Zhao
SSL
38
1
0
02 Nov 2024
Graph Pre-Training Models Are Strong Anomaly Detectors
Graph Pre-Training Models Are Strong Anomaly Detectors
Jiashun Cheng
Zinan Zheng
Yang Liu
Jianheng Tang
H. Wang
Yu Rong
Jia Li
Fugee Tsung
29
1
0
24 Oct 2024
Mitigating Graph Covariate Shift via Score-based Out-of-distribution
  Augmentation
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation
Bohan Wang
Yurui Chang
Lu Lin
OODD
OOD
32
0
0
23 Oct 2024
LAC: Graph Contrastive Learning with Learnable Augmentation in
  Continuous Space
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space
Zhenyu Lin
Hongzheng Li
Yingxia Shao
Guanhua Ye
Yawen Li
Quanqing Xu
31
0
0
20 Oct 2024
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
Ching Chang
Chiao-Tung Chan
Wei-Yao Wang
Wen-Chih Peng
Tien-Fu Chen
AI4TS
22
0
0
16 Oct 2024
Multiplex Graph Contrastive Learning with Soft Negatives
Multiplex Graph Contrastive Learning with Soft Negatives
Zhenhao Zhao
Minhong Zhu
Chen Wang
Sijia Wang
Jiqiang Zhang
Li Chen
Weiran Cai
29
0
0
12 Sep 2024
Virtual Node Generation for Node Classification in Sparsely-Labeled
  Graphs
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs
Hang Cui
Tarek F. Abdelzaher
25
0
0
12 Sep 2024
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
43
4
0
02 Sep 2024
Disentangled Generative Graph Representation Learning
Disentangled Generative Graph Representation Learning
Xinyue Hu
Zhibin Duan
Xinyang Liu
Yuxin Li
Bo Chen
Mingyuan Zhou
38
0
0
24 Aug 2024
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
Qian Ma
Haitao Mao
Jingzhe Liu
Zhehua Zhang
Chunlin Feng
Yu Song
Yihan Shao
Yao Ma
35
3
0
20 Aug 2024
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised
  Learning
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning
Yunhui Liu
Huaisong Zhang
Tieke He
Tao Zheng
Jianhua Zhao
SSL
32
4
0
09 Aug 2024
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
Yunhui Liu
Xinyi Gao
Tieke He
Tao Zheng
Jianhua Zhao
Hongzhi Yin
36
6
0
07 Aug 2024
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality
  Reduction via Graph Neural Networks
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks
Jihee You
Sowon Jeong
Claire Donnat
14
1
0
30 Jul 2024
MolTRES: Improving Chemical Language Representation Learning for
  Molecular Property Prediction
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
Jun-Hyung Park
Yeachan Kim
Mingyu Lee
Hyuntae Park
SangKeun Lee
30
0
0
09 Jul 2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented
  Negative Sample Selection in Graph Contrastive Learning
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
Adnan Ali
Jinlong Li
Huanhuan Chen
Ali Kashif Bashir
43
1
0
21 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New
  Insights
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen
Haitao Mao
Jingzhe Liu
Yu Song
Bingheng Li
...
Bahare Fatemi
Anton Tsitsulin
Bryan Perozzi
Hui Liu
Jiliang Tang
30
10
0
15 Jun 2024
GraphFM: A Comprehensive Benchmark for Graph Foundation Model
GraphFM: A Comprehensive Benchmark for Graph Foundation Model
Yuhao Xu
Xinqi Liu
Keyu Duan
Yi Fang
Yu-Neng Chuang
Daochen Zha
Qiaoyu Tan
AI4CE
30
1
0
12 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural
  Networks
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
Yurui Lai
Xiaoyang Lin
Renchi Yang
Hongtao Wang
39
2
0
08 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via
  Feature Alignment
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
Zhenyu Hou
Haozhan Li
Yukuo Cen
Jie Tang
Yuxiao Dong
23
6
0
05 Jun 2024
Towards a Unified Framework of Clustering-based Anomaly Detection
Towards a Unified Framework of Clustering-based Anomaly Detection
Zeyu Fang
Ming Gu
Sheng Zhou
Jiawei Chen
Qiaoyu Tan
Haishuai Wang
Jiajun Bu
43
0
0
01 Jun 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
59
12
0
20 May 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
97
21
0
15 May 2024
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal
  Prediction on Streaming Data
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
Hao Miao
Yan Zhao
Chenjuan Guo
Bin Yang
Kai Zheng
Feiteng Huang
Jiandong Xie
Christian S. Jensen
AI4TS
CLL
42
30
0
23 Apr 2024
On the Scalability of GNNs for Molecular Graphs
On the Scalability of GNNs for Molecular Graphs
Maciej Sypetkowski
Frederik Wenkel
Farimah Poursafaei
Nia Dickson
Karush Suri
Philip Fradkin
Dominique Beaini
GNN
AI4CE
34
11
0
17 Apr 2024
Does Negative Sampling Matter? A Review with Insights into its Theory
  and Applications
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
30
9
0
27 Feb 2024
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
M. Behmanesh
M. Ovsjanikov
21
0
0
23 Feb 2024
Scalable Graph Self-Supervised Learning
Scalable Graph Self-Supervised Learning
Ali Saheb Pasand
Reza Moravej
Mahdi Biparva
Raika Karimi
Ali Ghodsi
SSL
11
0
0
14 Feb 2024
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning
  Using Weight Regularization
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization
Ali Saheb Pasand
Reza Moravej
Mahdi Biparva
Ali Ghodsi
32
2
0
14 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without
  Supervision
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
20
0
0
14 Feb 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders
UGMAE: A Unified Framework for Graph Masked Autoencoders
Yijun Tian
Chuxu Zhang
Ziyi Kou
Zheyuan Liu
Xiangliang Zhang
Nitesh V. Chawla
19
1
0
12 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised
  Representation Learning
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning
Mahdi Naseri
Mahdi Biparva
SSL
24
0
0
09 Feb 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical
  Learning
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
Zhishuai Li
Yunhao Nie
Ziyue Li
Lei Bai
Yisheng Lv
Rui Zhao
11
5
0
23 Jan 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering
A Contrastive Variational Graph Auto-Encoder for Node Clustering
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
DRL
27
7
0
28 Dec 2023
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