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Self-supervised Graph-level Representation Learning with Local and
  Global Structure

Self-supervised Graph-level Representation Learning with Local and Global Structure

8 June 2021
Minghao Xu
Hang Wang
Bingbing Ni
Hongyu Guo
Jian Tang
    SSL
ArXivPDFHTML

Papers citing "Self-supervised Graph-level Representation Learning with Local and Global Structure"

36 / 36 papers shown
Title
Multi-Modal Molecular Representation Learning via Structure Awareness
Multi-Modal Molecular Representation Learning via Structure Awareness
Rong Yin
Ruyue Liu
Xiaoshuai Hao
Xingrui Zhou
Y. Liu
Can Ma
Weiping Wang
29
0
0
09 May 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Xin He
Y. Wang
Wenqi Fan
Xu Shen
Xin Juan
Rui Miao
Xin Wang
68
0
0
26 Jan 2025
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Billy Joe Franks
Moshe Eliasof
Semih Cantürk
Guy Wolf
Carola-Bibiane Schönlieb
Sophie Fellenz
Marius Kloft
AI4CE
76
0
0
10 Dec 2024
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
21
0
0
09 Sep 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
37
2
0
03 Aug 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Chuang Liu
Yuyao Wang
Yibing Zhan
Xueqi Ma
Dapeng Tao
Jia Wu
Wenbin Hu
49
4
0
24 Apr 2024
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph
  Neural Networks
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
Zhe Zhao
Pengkun Wang
Xu Wang
Haibin Wen
Xiaolong Xie
Zhengyang Zhou
Qingfu Zhang
Yang Wang
AI4CE
CLL
20
0
0
23 Apr 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard
  Negatives
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
Shubham Gupta
Srikanta J. Bedathur
OOD
26
1
0
14 Feb 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif
  Discovery
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
Pengwei Yan
Kaisong Song
Zhuoren Jiang
Yangyang Kang
Tianqianjin Lin
Changlong Sun
Xiaozhong Liu
AI4CE
23
2
0
19 Dec 2023
Removing Biases from Molecular Representations via Information
  Maximization
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang
Sharut Gupta
Caroline Uhler
Tommi Jaakkola
15
4
0
01 Dec 2023
Improving Self-supervised Molecular Representation Learning using
  Persistent Homology
Improving Self-supervised Molecular Representation Learning using Persistent Homology
Yuankai Luo
Lei Shi
Veronika Thost
SSL
26
8
0
29 Nov 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training
Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae
Gang Liu
Meng-Long Jiang
AI4CE
40
14
0
08 Sep 2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular
  Representation Learning
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Jiahao Chen
Yurou Liu
Jiangmeng Li
Bing-Huang Su
Jirong Wen
16
0
0
22 May 2023
Molecular Property Prediction by Semantic-invariant Contrastive Learning
Molecular Property Prediction by Semantic-invariant Contrastive Learning
Ziqiao Zhang
Ailin Xie
Jihong Guan
Shuigeng Zhou
19
5
0
13 Mar 2023
Activity Cliff Prediction: Dataset and Benchmark
Activity Cliff Prediction: Dataset and Benchmark
Ziqiao Zhang
Bangyi Zhao
Ailin Xie
Yatao Bian
Shuigeng Zhou
14
10
0
15 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
26
30
0
29 Jan 2023
Task-Agnostic Graph Neural Network Evaluation via Adversarial
  Collaboration
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
Xiangyu Zhao
Hannes Stärk
Dominique Beaini
Yiren Zhao
Pietro Lio'
24
0
0
27 Jan 2023
Hyperbolic Hierarchical Contrastive Hashing
Hyperbolic Hierarchical Contrastive Hashing
Rukai Wei
Yu Liu
Jingkuan Song
Yanzhao Xie
Ke Zhou
24
7
0
17 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
GLCC: A General Framework for Graph-Level Clustering
GLCC: A General Framework for Graph-Level Clustering
Wei Ju
Yiyang Gu
Binqi Chen
Gongbo Sun
Yifang Qin
Xing Liu
Xiao Luo
Ming Zhang
27
39
0
21 Oct 2022
Graph Contrastive Learning with Cross-view Reconstruction
Graph Contrastive Learning with Cross-view Reconstruction
Qianlong Wen
Z. Ouyang
Chunhui Zhang
Y. Qian
Yanfang Ye
Chuxu Zhang
SSL
15
6
0
16 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,300
0
02 Sep 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning
Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi
Ekdeep Singh Lubana
Mark Heimann
Danai Koutra
Jayaraman J. Thiagarajan
26
11
0
04 Aug 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Sihang Li
Xiang Wang
An Zhang
Y. Wu
Xiangnan He
Tat-Seng Chua
19
93
0
16 Jun 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders
GraphMAE: Self-Supervised Masked Graph Autoencoders
Zhenyu Hou
Xiao Liu
Yukuo Cen
Yuxiao Dong
Hongxia Yang
C. Wang
Jie Tang
SSL
42
544
0
22 May 2022
Neural Graph Matching for Pre-training Graph Neural Networks
Neural Graph Matching for Pre-training Graph Neural Networks
Yupeng Hou
Binbin Hu
Wayne Xin Zhao
Zhiqiang Zhang
Jun Zhou
Jianzhong Wen
10
8
0
03 Mar 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph
  Contrastive Learning
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
Kaize Ding
Yancheng Wang
Yingzhen Yang
Huan Liu
25
22
0
17 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun-Xiong Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
0
16 Feb 2022
A Self-supervised Mixed-curvature Graph Neural Network
A Self-supervised Mixed-curvature Graph Neural Network
Li Sun
Zhongbao Zhang
Junda Ye
Hao Peng
Jiawei Zhang
Sen Su
Philip S. Yu
SSL
28
33
0
10 Dec 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both
  Homophily and Heterophily
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du
Xiaozhou Shi
Qiang Fu
Xiaojun Ma
Hengyu Liu
Shi Han
Dongmei Zhang
25
104
0
29 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk
Dominique Beaini
Gabriele Corso
Prudencio Tossou
Christian Dallago
Stephan Günnemann
Pietro Lió
AI4CE
25
203
0
08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
112
302
0
07 Oct 2021
Prototypical Graph Contrastive Learning
Prototypical Graph Contrastive Learning
Shuai Lin
Pan Zhou
Zi-Yuan Hu
Shuojia Wang
Ruihui Zhao
Yefeng Zheng
Liang Lin
Eric P. Xing
Xiaodan Liang
16
86
0
17 Jun 2021
GraphTheta: A Distributed Graph Neural Network Learning System With
  Flexible Training Strategy
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
42
11
0
21 Apr 2021
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
162
1,775
0
02 Mar 2017
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