others.md

Others

• A Novel Density-based Clustering Algorithm Using Nearest Neighbor Graph (Pattern Recognition 2020)

  • Hao Li, Xiaojie Liu, Tao Li, and Rundong Gan
  • [Paper]
  • [Python Reference]

• Ensemble Clustering for Graphs: Comparisons and Applications (Applied Network Science 2019)

  • Valérie Poulin and François Théberge
  • [Paper]
  • [Python Reference]

• CutESC: Cutting Edge Spatial Clustering Technique based on Proximity Graphs (Knowledge-Based Systems 2019)

  • Alper Aksac, Tansel Özyer, Reda Alhajja
  • [Paper]
  • [Python Reference]

• A Study of Graph-based System for Multi-view Clustering (Knowledge-Based Systems 2019)

  • Hao Wang, Yan Yang, BingLiu, Hamido Fujita
  • [Paper]
  • [Python Reference]

• Learning Resolution Parameters for Graph Clustering (WWW 2019)

  • Nate Veldt, David Gleich, Anthony Wirth
  • [Paper]
  • [Julia Reference]

• Multiview Consensus Graph Clustering (IEEE TIP 2019)

  • Kun Zhan and Feiping Nie and Jing Wang and Yi Yang
  • [Paper]
  • [Matlab Reference]

• CutESC: Cutting Edge Spatial Clustering Technique based on Proximity Graphs (Knowledge-Based Systems 2019)

  • Alper Aksac, Tansel Özyer, Reda Alhajja
  • [Paper]
  • [Python Reference]

• Clubmark - Bench bencmarking Framework for the Clustering Algorithms Evaluation (ICDM 2018)

  • Artem Lutov, Mourad Khayati, Philippe Cudre-Mauroux
  • [Paper]
  • [Python Reference]

• The Difference Between Optimal and Germane Communities (Social Network Analysis and Mining 2018)

  • Jerry Scripps, Christian TrefftzZachary Kurmas
  • [Paper]
  • [Java Reference]

• Discovering Fuzzy Structural Patterns for Graph Analytics (IEEE TFS 2018)

  • Tiantian He and Keith C. C. Chan
  • [Paper]
  • [Executable Reference]

• Wiring Together Large Single-Cell RNA-Seq Sample Collections (biorxiv 2018)

  • Nikolas Barkas, Viktor Petukhov, Daria Nikolaeva, Yaroslav Lozinsky, Samuel Demharter, Konstantin Khodosevich, Peter V. Kharchenko
  • [Paper]
  • [C++]

• Community Detection and Stochastic Block Models: Recent Developments (JMLR 2017)

  • Emmanuel Abbe
  • [Paper]

• Watset: Automatic Induction of Synsets for a Graph of Synonyms (ACL 2017)

  • Dmitry Ustalov, Alexander Panchenko, and Chris Biemann
  • [Paper]
  • [Python Reference]
  • [Java Reference]

• An Overlapping Community Detection Algorithm Based on Density Peaks (NeuroComputing 2017)

  • Xueying Bai, Peilin Yang, and Xiaohu Shi
  • [Paper]
  • [Matlab Reference]

• Fast Heuristic Algorithm for Multi-scale Hierarchical Community Detection (ASONAM 2017)

  • Eduar Castrillo, Elizabeth León, and Jonatan Gómez
  • [Paper]
  • [C++ Reference]

• Time Series Clustering via Community Detection in Networks (Information Sciences 2016)

  • Leonardo N. Ferreira and Liang Zhao
  • [Paper]
  • [R Reference]

• Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression (New Generation Computing 2016)

  • Xin Liu, Weichu Liu, Tsuyoshi Murata, and Ken Wakita
  • [Paper]
  • [Scala Reference]

• Integration of Graph Clustering with Ant Colony Optimization for Feature Selection (Knowledge-Based Systems 2015)

  • Parham Moradi, Mehrdad Rostami
  • [Paper]
  • [Matlab Reference]

• Greedy Discrete Particle Swarm Optimization for Large-Scale Social Network Clustering (Information Sciences 2015)

  • Qing Cai, Maoguo Gong, Lijia Ma, Shasha Ruan, Fuyan Yuan, Licheng Jiao
  • [Paper]
  • [C++ Reference]

• Community Detection via Maximization of Modularity and Its Variants (IEEE TCSS 2014)

  • Mingming Chen, Konstantin Kuzmin, and Boleslaw K. Szymanski
  • [Paper]
  • [Python Reference]

• A Smart Local Moving Algorithm for Large-Scale Modularity-Based Community Detection (The European Physical Journal B 2013)

  • Ludo Waltman and Nees Jan Van Eck
  • [Paper]
  • [R Reference]
  • [Python Reference]

• Bayesian Hierarchical Community Discovery (NIPS 2013)

  • Charles Blundell and Yee Whye Teh
  • [Paper]
  • [Python Reference]
  • [C++ Reference]

• Efficient Discovery of Overlapping Communities in Massive Networks (PNAS 2013)

  • Prem K. Gopalan and David M. Blei
  • [Paper]
  • [C++ Reference]

• Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition (IEEE Trans. Evolutionary Computation 2013)

  • Maoguo Gong, Qing Cai, Xiaowei Chen, and Lijia Ma
  • [Paper]
  • [C++ Reference]

• An Efficient and Principled Method for Detecting Communities in Networks (Physical Review E 2011)

  • Brian Ball, Brian Karrer, M. E. J. Newman
  • [Paper]
  • [C++ Reference]
  • [Python Reference]

• A Game-Theoretic Approach to Hypergraph Clustering (NIPS 2009)

  • Samuel R. Bulò and Marcello Pelillo
  • [Paper]
  • [Matlab Reference]