Graph Clustering with Graph Neural Networks

30 June 2020

Papers citing "Graph Clustering with Graph Neural Networks"

50 / 108 papers shown

Title
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei-dong Jin DD 76 40 0 29 Jan 2024
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection Alessandro Bicciato Luca Cosmo G. Minello Luca Rossi A. Torsello 34 2 0 17 Jan 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 3 0 11 Jan 2024
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation Ming-Yi Hong Yi-Hsiang Huang Shao-En Lin You-Chen Teng Chih-Yu Wang Che Lin 47 0 0 07 Jan 2024
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures Van Thuy Hoang O-Joun Lee 30 6 0 28 Dec 2023
Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant S. Martino João Morado Chenghao Li Zhenghao Lu E. Rosta GNN 14 1 0 22 Dec 2023
A Framework for Exploring Federated Community Detection Will Leeney Ryan McConville FedML 31 2 0 14 Dec 2023
Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection Will Leeney Ryan McConville 30 2 0 14 Dec 2023
Robust Graph Clustering via Meta Weighting for Noisy Graphs Hyeonsoo Jo Fanchen Bu Kijung Shin OOD NoLa 28 7 0 01 Nov 2023
NeuroCUT: A Neural Approach for Robust Graph Partitioning Rishi Shah Krishnanshu Jain S. Manchanda Sourav Medya Sayan Ranu 15 2 0 18 Oct 2023
Clustering-based Image-Text Graph Matching for Domain Generalization Nokyung Park Daewon Chae Jeongyong Shim Sangpil Kim Eun-Sol Kim Jinkyu Kim OOD 33 1 0 04 Oct 2023
DINE: Dimensional Interpretability of Node Embeddings Simone Piaggesi Megha Khosla Andre' Panisson Avishek Anand 27 6 0 02 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 32 1 0 02 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 31 13 0 01 Oct 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 39 19 0 20 Sep 2023
Unsupervised Learning via Network-Aware Embeddings Anne Sophie Riis Damstrup Sofie Tosti Madsen Michele Coscia SSL 43 0 0 19 Sep 2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing Sichao Fu Qinmu Peng Yang He Baokun Du Xinge You 31 2 0 06 Sep 2023
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks Shuja Khalid Frank Rudzicz 24 2 0 24 Aug 2023
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity Van Thuy Hoang O-Joun Lee 32 11 0 18 Aug 2023
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities Dongyue Li Haotian Ju Aneesh Sharma Hongyang R. Zhang 66 8 0 24 Jun 2023
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method Shuo Han Jiachegn Liu Jiayun Wu Yinan Chen Li Tao 21 0 0 20 Jun 2023
HiGen: Hierarchical Graph Generative Networks Mahdi Karami 39 4 0 30 May 2023
Task-Equivariant Graph Few-shot Learning Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 34 6 0 30 May 2023
Dink-Net: Neural Clustering on Large Graphs Yue Liu K. Liang Jun Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 38 54 0 28 May 2023
Speech Separation based on Contrastive Learning and Deep Modularization Peter Ochieng SSL 30 0 0 18 May 2023
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection Will Leeney Ryan McConville 42 4 0 10 May 2023
The expressive power of pooling in Graph Neural Networks F. Bianchi Veronica Lachi 22 30 0 04 Apr 2023
Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems Aron Brenner Rahman Khorramfar Saurabh Amin 22 5 0 16 Mar 2023
Random Projection Forest Initialization for Graph Convolutional Networks Mashaan Alshammari J. Stavrakakis Adel F. Ahmed M. Takatsuka GNN 29 2 0 22 Feb 2023
Simple yet Effective Gradient-Free Graph Convolutional Networks Yulin Zhu Xing Ai Qimai Li Xiao-Ming Wu Kai Zhou 21 0 0 01 Feb 2023
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network Guanghui Zhu Zhen-Wei Zhu Wen Wang Zhuoer Xu Chun Yuan Jiaming Ji 19 8 0 08 Jan 2023
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource Yue Liu Jun Xia Sihang Zhou Xihong Yang K. Liang Chenchen Fan Zhuang Yan Stan Z. Li Xinwang Liu Kunlun He OOD 32 19 0 23 Nov 2022
Semi-supervised Local Cluster Extraction by Compressive Sensing Zhaiming Shen Ming-Jun Lai Sheng Li 33 3 0 20 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 33 12 0 11 Nov 2022
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network Chuxuan Hu Qinghai Zhou Hanghang Tong 22 0 0 08 Nov 2022
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming Kshitij Goyal Wannes Meert Hendrik Blockeel E. V. Wolputte Koen Vanderstraeten Wouter Pijpops Kurt Jaspers 30 1 0 04 Oct 2022
Higher-order Clustering and Pooling for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros 50 38 0 02 Sep 2022
Generalizing Downsampling from Regular Data to Graphs D. Bacciu A. Conte Francesco Landolfi 45 8 0 06 Aug 2022
Simplifying Clustering with Graph Neural Networks F. Bianchi 27 10 0 18 Jul 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions Sheng Zhou Hongjia Xu Zhuonan Zheng Jiawei Chen Zhao Li Jiajun Bu Jia Wu Xin Wang Wenwu Zhu Martin Ester 18 94 0 15 Jun 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 29 2 0 20 May 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture Model Maedeh Ahmadi M. Safayani Abdolreza Mirzaei 19 4 0 10 May 2022
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers Tsung-Wei Ke Jyh-Jing Hwang Yunhui Guo Xudong Wang Stella X. Yu 21 47 0 25 Apr 2022
CGC: Contrastive Graph Clustering for Community Detection and Tracking Namyong Park Ryan A. Rossi Eunyee Koh I. Burhanuddin Sungchul Kim F. Du Nesreen Ahmed Christos Faloutsos 30 36 0 05 Apr 2022
Synthetic Graph Generation to Benchmark Graph Learning Anton Tsitsulin Benedek Rozemberczki John Palowitch Bryan Perozzi 41 27 0 04 Apr 2022
Shift-Robust Node Classification via Graph Adversarial Clustering Qi Zhu Chao Zhang Chanyoung Park Carl Yang Jiawei Han OOD 23 6 0 07 Mar 2022
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks Minji Yoon John Palowitch Dustin Zelle Ziniu Hu Ruslan Salakhutdinov Bryan Perozzi 33 13 0 03 Mar 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 201 68 0 28 Feb 2022
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning Xiang Li Dong Li R. Jin G. Agrawal R. Ramnath GNN 27 4 0 31 Dec 2021
RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning Hansheng Xue V. Mallawaarachchi Yujia Zhang Vaibhav Rajan Yu Lin 25 12 0 22 Dec 2021