InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

31 July 2019

Jian Tang

Papers citing "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

50 / 110 papers shown

Title
Multi-Modal Molecular Representation Learning via Structure Awareness Rong Yin Ruyue Liu Xiaoshuai Hao Xingrui Zhou Y. Liu Can Ma Weiping Wang 26 0 0 09 May 2025
Dual Test-time Training for Out-of-distribution Recommender System Xihong Yang Yiqi Wang Jin Chen Wenqi Fan Xiangyu Zhao En Zhu Xinwang Liu Defu Lian TTA 106 5 0 13 Mar 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders Jongwon Park Heesoo Jung Hogun Park 49 1 0 10 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 46 1 0 02 Mar 2025
Deep Modularity Networks with Diversity--Preserving Regularization Yasmin Salehi D. Giannacopoulos 31 0 0 23 Jan 2025
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 Lecheng Zheng Baoyu Jing Zihao Li Zhichen Zeng Tianxin Wei ... Lihui Liu Dongqi Fu Jiaxuan You Hanghang Tong Jingrui He 48 5 0 31 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 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 0 30 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 32 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 0 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
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 26 19 0 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 35 4 0 18 Jan 2024
Improving Self-supervised Molecular Representation Learning using Persistent Homology Yuankai Luo Lei Shi Veronika Thost SSL 22 8 0 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 Chunping Wang Yang Yang AI4CE 31 14 0 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 26 0 0 23 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 52 3 0 27 Sep 2023
With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaigns Abraham Israeli Oren Tsur 17 2 0 18 Jul 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 15 30 0 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 22 30 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 16 0 0 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 0 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 11 34 0 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 11 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 19 27 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 14 8 0 16 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 30 10 0 13 Feb 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 20 16 0 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 26 30 0 29 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 21 150 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 16 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 36 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 21 7 0 26 Nov 2022
Self Supervised Clustering of Traffic Scenes using Graph Representations Maximilian Zipfl Moritz Jarosch J. Marius Zöllner GNN 16 2 0 24 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 30 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 25 39 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 11 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
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 33 15 0 14 Sep 2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax Hao-Ren Yao Nairen Cao Katina Russell D. Chang O. Frieder Jeremy T. Fineman SSL 16 1 0 01 Sep 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 27 22 0 21 Aug 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 22 10 0 12 Aug 2022
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
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning Haoran Yang Hongxu Chen Sixiao Zhang Xiangguo Sun Qian Li Xiangyu Zhao Guandong Xu SSL 28 24 0 01 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 36 63 0 30 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 22 20 0 16 Jun 2022
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