社区检测深度学习方法 Deep Learning • Deep Multi-Graph Clustering via Attentive Cross-Graph Association (WSDM 2020) Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Yu and Xiang Zhang aper] – [Python Reference] • Overlapping Community Detection with Graph Neural Networks (MLGWorkShop 2019) Oleksandr Shchur and Stephan Gunnemann aper] – [Python Reference] • Supervised Community Detection with Line Graph Neural Networks (ICLR 2019) Zhengdao Chen, Xiang Li, and Joan Bruna [Paper] [LUA Reference] – [Python Reference] • CommunityGAN: Community Detection with Generative Adversarial Nets (ArXiv 2019) Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang aper] – [Python Reference] • An Adaptive Graph Learning Method Based on Dual Data Representations for Clustering (Pattern Recognition 2018) – Tianchi Liu, Chamara Kasun, Liyanaarachchi Lekamalage Guang-Bin Huang, and Zhiping Lin [Paper] – [Matlab Reference] • Improving the Efficiency and Effectiveness of Community Detection via Prior-Induced Equivalent Super-Network (Scientific Reports 2017) – Liang Yg, Di Jin, Dongxiao He, Huazhu Fu, Xiaochun Cao, and Francoise Fogelman-Soulie aper] – [Python Reference] • MGAE: Marginalized Graph Autoencoder for Graph Clustering (CIKM 2017)
Chun Wang, Shirui Pan, Guodong Long, Xingquabn Zhu, and Jing Jiang [Paper] – [Matlab Reference] • Graph Clustering with Dynamic Embedding (Arxiv 2017) Carl Yang, Mengxiong Liu, Zongyi Wang, Liyuan Liu, Jiawei Han aper] – [Python Reference] • Modularity based Community Detection with Deep Learning (IJCAI 2016) – Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, and Weixiong Zhan aper] – [Python Reference] • Learning Deep Representations for Graph Clustering (AAAI 2014) Fei Tian, Bin Gao, Qing Cui, Enhong Chen, and Tie-Yan Liu aper] Reference] – [Python Alternative]