Modularity-Aware Graph Autoencoders for Joint Community Detection and
Link Prediction

Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction

2 February 2022

Guillaume Salha-Galvan

George Dasoulas

Romain Hennequin

Michalis Vazirgiannis

Papers citing "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction"

17 / 17 papers shown

Title
To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders Guillaume Salha-Galvan Jiaying Xu 46 0 0 23 Feb 2025
Modular Training of Neural Networks aids Interpretability Satvik Golechha Maheep Chaudhary Joan Velja Alessandro Abate Nandi Schoots 79 0 0 04 Feb 2025
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment Yang Xiang Li Fan Tulika Saha Xiaoying Pang Yushan Pan Haiyang Zhang Chengtao Ji 48 0 0 28 Jan 2025
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings Nikolaos Nakis Chrysoula Kosma Giannis Nikolentzos Michalis Chatzianastasis Iakovos Evdaimon Michalis Vazirgiannis 51 1 0 16 Sep 2024
Modularity aided consistent attributed graph clustering via coarsening Samarth Bhatia Yukti Makhija Manoj Kumar Sandeep Kumar 38 0 0 09 Jul 2024
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective Yunfei Liu Jintang Li Yuehe Chen Ruofan Wu Ericbk Wang ... Shuheng Shen Xing Fu Changhua Meng Weiqiang Wang Liang Chen 35 9 0 20 Jun 2024
Heterophilous Distribution Propagation for Graph Neural Networks Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu 58 0 0 31 May 2024
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training Yuecheng Li Yanming Hu Lele Fu Chuan Chen Lei Yang Zibin Zheng 32 3 0 18 Nov 2023
DINE: Dimensional Interpretability of Node Embeddings Simone Piaggesi Megha Khosla Andre' Panisson Avishek Anand 27 6 0 02 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 40 2 0 02 Oct 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers Alan John Varghese Aniruddha Bora Mengjia Xu George Karniadakis 36 5 0 05 Jul 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling Chuang Liu Yibing Zhan Baosheng Yu Liu Liu Bo Du Wenbin Hu Tongliang Liu 35 11 0 22 Jun 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Yi Yang Hejie Cui Carl Yang 35 18 0 20 May 2023
EGRC-Net: Embedding-induced Graph Refinement Clustering Network Zhihao Peng Hui Liu Yuheng Jia Junhui Hou 29 6 0 19 Nov 2022
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction Guillaume Salha-Galvan J. Lutzeyer George Dasoulas Romain Hennequin Michalis Vazirgiannis 31 2 0 16 Nov 2022
Rethinking the positive role of cluster structure in complex networks for link prediction tasks Shan-Shan Zhang Wenjiao Zhang Zhan Bu 19 0 0 04 Nov 2022
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 242 1,340 0 12 Feb 2018