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Local Community Detection in Multiple Networks (KDD 2020)
- Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang
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LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding (WSDM 2020)
- Ayan Kumar Bhowmick, Koushik Meneni, Maximilien Danisch, Jean Loup Guillaume, Bivas Mitra
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Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI 2020)
- Hongteng Xu
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Graph Embedding with Self-Clustering (ASONAM 2019)
- Benedek Rozemberczki, Ryan Davies, Rik Sarkar, and Charles Sutton
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Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection (IEEE Big Data 2019)
- Artem Lutov, Dingqi Yang, Philippe Cudré-Mauroux
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Graph Constraint-Based Robust Latent Space Low-Rank and Sparse Subspace Clustering (Neural Computing and Applications 2019)
- Yunjun Xiao, Jia Wei, Jiabing Wang, Qianli Ma, Shandian Zhe, and Tolga Tasdizen
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Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering (ICDM 2019)
- Youwei Liang, Dong Huang, and Chang-Dong Wang
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Discrete Overlapping Community Detection with Pseudo Supervision (ICDM 2019)
- Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu
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GMC: Graph-based Multi-view Clustering (TKDE 2019)
- Hao Wang, Yan Yang, Bing Liu
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Embedding-based Silhouette Community Detection (Arxiv 2019)
- Blaž Škrlj, Jan Kralj, Nada Lavrač
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Knowledge Graph Enhanced Community Detection and Characterization (WSDM 2019)
- Shreyansh Bhatt, Swati Padhee, Amit Sheth, Keke Chen ,Valerie Shalin, Derek Doran, and Brandon Minnery
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Discrete Optimal Graph Clustering (IEEE Cybernetics 2019)
- Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu
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Total Variation Based Community Detection Using a Nonlinear Optimization Approach (Arxiv 2019)
- Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
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vGraph: A Generative Model for Joint Community Detection and Node Representation Learning (NeurIPS 2019)
- Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
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Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection (CIKM 2018)
- Fanghua Ye, Chuan Chen, and Zibin Zheng
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Adaptive Community Detection Incorporating Topology and Content in Social Networks (Knowledge-Based Systems 2018)
- Qin Meng, Jin Di, Lei Kai, Bogdan Gabrys, Katarzyna, Musial-Gabrys
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Learning Latent Factors for Community Identification and Summarization (IEEE Access 2018)
- Tiantian He, Lun Hu, Keith C. C. Chan, and Pengwei Hu
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Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure (AAAI 2018)
- Aleksandar Bojchevski and Stephan Günnemann
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A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks (AAAI 2018)
- Sikun Yang and Heinz Koeppl
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Sentiment-driven Community Profiling and Detection on Social Media (ACM HSM 2018)
- Amin Salehi, Mert Ozer, and Hasan Davulcu
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TNE: A Latent Model for Representation Learning on Networks (Arxiv 2018)
- Abdulkadir Çelikkanat and Fragkiskos D. Malliaros
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Non-Linear Attributed Graph Clustering by Symmetric NMF with PU Learning (Arxiv 2018)
- Seiji Maekawa, Koh Takeuch, Makoto Onizuka
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Adaptive Affinity Learning for Accurate Community Detection (ICDM 2018)
- Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, Zibin Zheng
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A Nonnegative Matrix Factorization Approach for Multiple Local Community Detection (ASONAM 2018)
- Dany Kamuhanda and Kun He
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Community Preserving Network Embedding (AAAI 17)
- Xiao Wang, Peng Cui, Jing Wang, Jain Pei, WenWu Zhu, Shiqiang Yang
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A Non-negative Symmetric Encoder-Decoder Approach for Community Detection (CIKM 17)
- Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng
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Self-weighted Multiview Clustering with Multiple Graphs (IJCAI 17)
- Feiping Nie, Jing Li, and Xuelong Li
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Semi-supervised Clustering in Attributed Heterogeneous Information Networks (WWW 17)
- Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, and Yudian Zheng
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Learning Community Embedding with Community Detection and Node Embedding on Graph (CIKM 2017)
- Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, and Erik Cambria
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Cross-Validation Estimate of the Number of Clusters in a Network (Scientific Report 2017)
- Matsuro Kawamoto and Yoshiyuki Kabashima
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Comparative Analysis on the Selection of Number of Clusters in Community Detection (ArXiv 2017)
- Matsuro Kawamoto and Yoshiyuki Kabashima
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Subspace Based Network Community Detection Using Sparse Linear Coding (TKDE 2016)
- Arif Mahmood and Michael Small
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Joint Community and Structural Hole Spanner Detection via Harmonic Modularity (KDD 2016)
- Lifang He, Chun-Ta Lu, Jiaqi Mu, Jianping Cao, Linlin Shen, and Philip S Yu
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Community Detection via Fused Loadings Principal Component Analysis (2016)
- Richard Samworth, Yang Feng, and Yi Yu
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Feature Extraction via Multi-view Non-negative Matrix Factorization with Local Graph Regularization (IEEE ICIP 2015)
- Zhenfan Wang, Xiangwei Kong, Hiayan Fu, Ming Li, and Yujia Zhang
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A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization (IEEE TOC 2015)
- Liang Yang, Xiaochun Cao, Di Jin, Xiao Wang, and Dan Meng
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Community Detection via Measure Space Embedding (NIPS 2015)
- Yulong Pei, Nilanjan Chakraborty, and Katia Sycara
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Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks (IJCAI 2015)
- Mark Kozdoba and Shie Mannor
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Community Detection for Clustered Attributed Graphs via a Variational EM Algorithm (Big Data 2014)
- Xiangyong Cao, Xiangyu Chang, and Zongben Xu
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Improved Graph Clustering (Transactions on Information Network Theory 2014)
- Yudong Chen, Sujay Sanghavi, Huan Xu
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Overlapping Community Detection at Scale: a Nonnegative Matrix Factorization Approach (WSDM 2013)
- Jaewon Yang and Jure Leskovec
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On the Statistical Detection of Clusters in Undirected Networks (Computation Statistics and Data Analysis 2013)
- Marcus B. Perry, Gregory V. Michaelson, M. Allan Ballard
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Symmetric Nonnegative Matrix Factorization for Graph Clustering (SDM 2012)
- Da Kuang, Chris Ding, and Haesun Park
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A Model-based Approach to Attributed Graph Clustering (SIGMOID 2012)
- Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, and James Cheng
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Overlapping Community Detection Using Bayesian Non-negative Matrix Factorization (Physical Review E 2011)
- Ionnis Psorakis, Stephen Roberts, Mark Ebden, and Ben Sheldon
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