deep_learning.md

Deep Learning

• Community Detection Clustering via Gumbel Softmax (ArXiV 2020)

  • Deepak Bhaskar Acharya, Huaming Zhang
  • [Paper]
  • [Code]

• Graph Clustering with Graph Neural Networks (Arxiv 2020)

  • Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
  • [Paper]
  • [Code]

• Adversarial Attack on Community Detection by Hiding Individuals (WWW 2020)

  • Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
  • [Paper]
  • [Code]

• One2Multi Graph Autoencoder for Multi-view Graph Clustering (WWW 2020)

  • Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang
  • [Paper]
  • [Python Reference]

• Structural Deep Clustering Network (WWW 2020)

  • Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
  • [Paper]
  • [Python Reference]

• Deep Multi-Graph Clustering via Attentive Cross-Graph Association (WSDM 2020)

  • Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Yu and Xiang Zhang
  • [Paper]
  • [Python Reference]

• Overlapping Community Detection with Graph Neural Networks (MLGWorkShop 2019)

  • Oleksandr Shchur and Stephan Gunnemann
  • [Paper]
  • [Python Reference]
  • [Python]
  • [Python]

• Supervised Community Detection with Line Graph Neural Networks (ICLR 2019)

  • Zhengdao Chen, Xiang Li, and Joan Bruna
  • [Paper]
  • [LUA Reference]
  • [Python Reference]
  • [Python]

• Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning (ICCV 2019)

  • Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, Jin Young Choi
  • [Paper]
  • [Python Reference]

• CommunityGAN: Community Detection with Generative Adversarial Nets (ArXiv 2019)

  • Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang
  • [Paper]
  • [Python Reference]

• Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach (CIKM 2019)

  • Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu
  • [Paper]
  • [Python Reference]

• Unsupervised Community Detection with Modularity-Based Attention Model (ArXiv 2019)

  • Ivan Lobov, Sergey Ivanov
  • [Paper]
  • [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 Yang, Di Jin, Dongxiao He, Huazhu Fu, Xiaochun Cao, and Francoise Fogelman-Soulie
  • [Paper]
  • [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
  • [Paper]
  • [Python Reference]

• Modularity based Community Detection with Deep Learning (IJCAI 2016)

  • Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, and Weixiong Zhan
  • [Paper]
  • [Python Reference]

• Learning Deep Representations for Graph Clustering (AAAI 2014)

  • Fei Tian, Bin Gao, Qing Cui, Enhong Chen, and Tie-Yan Liu
  • [Paper]
  • [Python Reference]
  • [Python Alternative]