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1908.01000
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InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
31 July 2019
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
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Papers citing
"InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"
50 / 131 papers shown
Title
Multi-Modal Molecular Representation Learning via Structure Awareness
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Xingrui Zhou
Y. Liu
Can Ma
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Dual Test-time Training for Out-of-distribution Recommender System
Xihong Yang
Yiqi Wang
Jin Chen
Wenqi Fan
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En Zhu
Xinwang Liu
Defu Lian
TTA
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13 Mar 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
Jongwon Park
Heesoo Jung
Hogun Park
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10 Mar 2025
Edge Prompt Tuning for Graph Neural Networks
Xingbo Fu
Yinhan He
Jundong Li
48
1
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02 Mar 2025
Deep Modularity Networks with Diversity--Preserving Regularization
Yasmin Salehi
D. Giannacopoulos
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23 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
45
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17 Jan 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit
Lecheng Zheng
Baoyu Jing
Zihao Li
Zhichen Zeng
Tianxin Wei
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Lihui Liu
Dongqi Fu
Jiaxuan You
Hanghang Tong
Jingrui He
56
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0
31 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai
Guansong Pang
Hezhe Qiao
Yuan Gao
Hui Yan
67
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0
26 Nov 2024
Tensor-Fused Multi-View Graph Contrastive Learning
Yujia Wu
Junyi Mo
Elynn Chen
Yuzhou Chen
29
1
0
20 Oct 2024
Explaining Graph Neural Networks for Node Similarity on Graphs
Daniel Daza
C. Chu
T. Tran
Daria Stepanova
Michael Cochez
Paul T. Groth
33
1
0
10 Jul 2024
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics
Michael Moran
Vladimir V. Gusev
M. Gaultois
Dmytro Antypov
M. Rosseinsky
AI4CE
25
0
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30 Jun 2024
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views
Muzhen Cai
Sendong Zhao
Haochun Wang
Yanrui Du
Zewen Qiang
Bing Qin
Ting Liu
29
0
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26 Jun 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Yili Wang
Yixin Liu
Xu Shen
Chenyu Li
Kaize Ding
Rui Miao
Ying Wang
Shirui Pan
Xin Wang
34
8
0
21 Jun 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation
Peiyu Liang
Hongchang Gao
Xubin He
30
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0
04 Jun 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Xin Gao
Tong Chen
Wentao Zhang
Junliang Yu
Guanhua Ye
Quoc Viet Hung Nguyen
34
7
0
22 May 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Chuang Liu
Yuyao Wang
Yibing Zhan
Xueqi Ma
Dapeng Tao
Jia Wu
Wenbin Hu
51
4
0
24 Apr 2024
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
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20
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0
23 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
30
19
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30 Mar 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Yutong Xia
Runpeng Yu
Yuxuan Liang
Xavier Bresson
Xinchao Wang
Roger Zimmermann
37
4
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18 Jan 2024
Improving Self-supervised Molecular Representation Learning using Persistent Homology
Yuankai Luo
Lei Shi
Veronika Thost
SSL
29
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29 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
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Yang Yang
AI4CE
31
14
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02 Nov 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
Yulan Hu
Ouyang Sheng
Jingyu Liu
Ge Chen
Zhirui Yang
Junchen Wan
Fuzheng Zhang
Zhongyuan Wang
Yong Liu
28
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23 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TS
GNN
54
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27 Sep 2023
With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaigns
Abraham Israeli
Oren Tsur
25
2
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18 Jul 2023
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
15
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31 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
Shengchao Liu
Weitao Du
Zhiming Ma
Hongyu Guo
Jian Tang
26
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0
28 May 2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Jiahao Chen
Yurou Liu
Jiangmeng Li
Bing-Huang Su
Jirong Wen
23
0
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22 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Yunsheng Bai
Atefeh Sohrabizadeh
Zongyue Qin
Ziniu Hu
Yizhou Sun
Jason Cong
18
1
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18 May 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
Wei Ju
Xiao Luo
Meng Qu
Yifan Wang
C. L. Philip Chen
Minghua Deng
Xiansheng Hua
Ming Zhang
19
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23 Apr 2023
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems
Fang Wu
Huiling Qin
Siyuan Li
Stan Z. Li
Xianyuan Zhan
Jinbo Xu
18
5
0
08 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Haotao Wang
Ziyu Jiang
Yuning You
Yan Han
Gaowen Liu
Jayanth Srinivasa
Ramana Rao Kompella
Zhangyang Wang
21
28
0
06 Apr 2023
Hybrid Augmented Automated Graph Contrastive Learning
Yifu Chen
Qianqian Ren
Liu Yong
31
1
0
24 Mar 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
22
8
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16 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection
Yunhe Zhang
Yan Sun
Jinyu Cai
Jicong Fan
38
10
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13 Feb 2023
Curriculum Graph Machine Learning: A Survey
Haoyang Li
Xin Eric Wang
Wenwu Zhu
22
16
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06 Feb 2023
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
Xiang Li
Tiandi Ye
Caihua Shan
Dongsheng Li
Ming Gao
SSL
34
30
0
29 Jan 2023
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
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
Shengchao Liu
Weili Nie
Chengpeng Wang
Jiarui Lu
Zhuoran Qiao
Ling Liu
Jian Tang
Chaowei Xiao
Anima Anandkumar
28
152
0
21 Dec 2022
Data Augmentation on Graphs: A Technical Survey
Jiajun Zhou
Chenxuan Xie
Shengbo Gong
Z. Wen
Xiangyu Zhao
Qi Xuan
Xiaoniu Yang
AI4TS
18
8
0
20 Dec 2022
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax
Yang Liu
Yu Rong
Zhuoning Guo
Nuo Chen
Tingyang Xu
Fugee Tsung
Jia Li
39
11
0
12 Dec 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
28
7
0
26 Nov 2022
Self Supervised Clustering of Traffic Scenes using Graph Representations
Maximilian Zipfl
Moritz Jarosch
J. Marius Zöllner
GNN
24
2
0
24 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao
Qianlong Wen
Mingxuan Ju
Chuxu Zhang
Yanfang Ye
32
20
0
12 Nov 2022
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
40
0
21 Oct 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Yaming Yang
Ziyu Guan
Zhe Wang
Wei Zhao
Cai Xu
Weigang Lu
Jianbin Huang
SSL
18
39
0
19 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation
Lirong Wu
Yufei Huang
Haitao Lin
Zicheng Liu
Tianyu Fan
Stan Z. Li
SSL
42
5
0
05 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
32
48
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02 Oct 2022
Universal Prompt Tuning for Graph Neural Networks
Taoran Fang
Yunchao Zhang
Yang Yang
Chunping Wang
Lei Chen
24
47
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30 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Zhiyuan Ning
P. Wang
Pengyang Wang
Ziyue Qiao
Wei Fan
Denghui Zhang
Yi Du
Yuanchun Zhou
16
13
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28 Sep 2022
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