Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

15 September 2020

George Karypis

Papers citing "Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning"

34 / 34 papers shown

Title
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 90 2 0 24 Feb 2025
Can Self Supervision Rejuvenate Similarity-Based Link Prediction? Chenhan Zhang Weiqi Wang Zhiyi Tian James Jianqiao Yu Mohamed Ali Kaafar An Liu Shui Yu SSL 15 0 0 24 Oct 2024
TopER: Topological Embeddings in Graph Representation Learning Astrit Tola Funmilola Mary Taiwo Cüneyt Gürcan Akçora Baris Coskunuzer 23 0 0 02 Oct 2024
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 47 12 0 20 May 2024
PHLP: Sole Persistent Homology for Link Prediction -- Interpretable Feature Extraction Junwon You Eunwoo Heo Jae-Hun Jung 21 1 0 23 Apr 2024
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks D. Zanardini Emilio Serrano AI4CE GNN 29 0 0 10 Jan 2024
BHGNN-RT: Network embedding for directed heterogeneous graphs Xiyang Sun F. Komaki 24 1 0 24 Nov 2023
Graph Self-Contrast Representation Learning Minjie Chen Yao Cheng Ye Wang Xiangci Li Ming Gao SSL 17 1 0 05 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 22 2 0 31 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang K. Wang Yang You Xiaojiang Peng Yuxuan Liang Yang Wang 21 8 0 19 Aug 2023
Subgraph Networks Based Contrastive Learning Jinhuan Wang Jiafei Shao Zeyu Wang Shanqing Yu Qi Xuan Xiaoniu Yang 17 1 0 06 Jun 2023
GIMM: InfoMin-Max for Automated Graph Contrastive Learning Xin Xiong F. Shen Xiangyu Wang School of Materials Science 8 0 0 27 May 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network Yifei Wang Yupan Wang Zeyu Zhang Song Yang Kaiqi Zhao Jiamou Liu OOD 6 4 0 12 Feb 2023
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection Haibin Zheng Haiyang Xiong Hao-Shang Ma Guohan Huang Jinyin Chen 27 13 0 14 Aug 2022
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers Jie Song M. Liang Zhe Xue Junping Du Feifei Kou 20 0 0 31 Mar 2022
Link Prediction with Contextualized Self-Supervision Daokun Zhang Jie Yin Philip S. Yu 16 6 0 25 Jan 2022
Graph Representation Learning via Contrasting Cluster Assignments Chun-Yang Zhang Hong-Yu Yao F. I. C. L. Philip Chen Yue-Na Lin SSL 18 2 0 15 Dec 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 15 2 0 25 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 18 3 0 29 Oct 2021
GenURL: A General Framework for Unsupervised Representation Learning Siyuan Li Zicheng Liu Z. Zang Di Wu Zhiyuan Chen Stan Z. Li OOD 3DGS OffRL 24 9 0 27 Oct 2021
Neural Link Prediction with Walk Pooling Liming Pan Chen Shi Ivan Dokmanić 27 51 0 08 Oct 2021
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) Jie Bu Arka Daw M. Maruf Anuj Karpatne 32 5 0 01 Oct 2021
HeMI: Multi-view Embedding in Heterogeneous Graphs Costas Mavromatis George Karypis 13 3 0 14 Sep 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning Marinos Poiitis Pavlos Sermpezis Athena Vakali 15 0 0 06 Sep 2021
Variational Graph Normalized Auto-Encoders S. Ahn Myoung-Ho Kim 22 72 0 18 Aug 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 26 241 0 16 May 2021
Unsupervised Deep Manifold Attributed Graph Embedding Z. Zang Siyuan Li Di Wu Jianzhu Guo Yongjie Xu Stan Z. Li DRL 18 5 0 27 Apr 2021
Edge: Enriching Knowledge Graph Embeddings with External Text Saed Rezayi Handong Zhao Sungchul Kim Ryan A. Rossi Nedim Lipka Sheng R. Li 13 30 0 11 Apr 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 19 542 0 27 Feb 2021
Memory-Associated Differential Learning Yi Luo Aiguo Chen Bei Hui Ke Yan 28 3 0 10 Feb 2021
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery Shuliang Xu Sheng-lan Liu Lin Feng SSL 6 2 0 05 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 189 743 0 03 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016