Graph Clustering with Graph Neural Networks

30 June 2020

Papers citing "Graph Clustering with Graph Neural Networks"

24 / 24 papers shown

Title
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Can Küçüksözen Yücel Yemez OCL 49 0 0 04 May 2025
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 72 0 0 26 Mar 2025
GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization Yan Zhuang Minheng Chen Chao-Yang Cao Tong Chen Jing Zhang Xiaowei Yu Yanjun Lyu L. Zhang Tianming Liu D. Zhu 38 0 0 25 Mar 2025
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities Shih-Hsuan Chiu Ya-Wen Teng De-Nian Yang Ming-Syan Chen 33 0 0 15 Feb 2025
Modular Training of Neural Networks aids Interpretability Satvik Golechha Maheep Chaudhary Joan Velja Alessandro Abate Nandi Schoots 74 0 0 04 Feb 2025
CDC: A Simple Framework for Complex Data Clustering Zhao Kang Xuanting Xie Bingheng Li Erlin Pan 89 8 0 10 Jan 2025
Theoretical Insights into Line Graph Transformation on Graph Learning Fan Yang Xingyue Huang 34 0 0 21 Oct 2024
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length J. V. Pichowski Christopher Blöcker Ingo Scholtes 26 0 0 16 Sep 2024
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks Xueming Yan Ziqi Wang Yaochu Jin FedML 28 0 0 12 Jun 2024
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering Siamak Ghodsi Seyed Amjad Seyedi Eirini Ntoutsi 24 6 0 16 Feb 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 42 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 35 0 0 07 Jan 2024
Unsupervised Learning via Network-Aware Embeddings Anne Sophie Riis Damstrup Sofie Tosti Madsen Michele Coscia SSL 35 0 0 19 Sep 2023
Random Projection Forest Initialization for Graph Convolutional Networks Mashaan Alshammari J. Stavrakakis Adel F. Ahmed M. Takatsuka GNN 18 2 0 22 Feb 2023
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 25 12 0 11 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 22 1 0 04 Oct 2022
Simplifying Clustering with Graph Neural Networks F. Bianchi 19 9 0 18 Jul 2022
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers Tsung-Wei Ke Jyh-Jing Hwang Yunhui Guo Xudong Wang Stella X. Yu 16 47 0 25 Apr 2022
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning Xiang Li Dong Li R. Jin G. Agrawal R. Ramnath GNN 19 4 0 31 Dec 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 19 3 0 09 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 22 106 0 02 Aug 2021
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN Shai Ben-Assayag Ran El-Yaniv GNN 27 9 0 18 Jul 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 914 0 02 Mar 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 247 3,236 0 24 Nov 2016