Fetching the paper…
Reading the bibliography…
Spectral clustering and Singular Value Decomposition (SVD) are both widely used technique for analyzing graph data.
The approximation of one matrix by another of lower rank
Carl Eckart and Gale Young · 1936
Earlier work this paper cites.
Spectral graph theory
Fan RK Chung and Fan Chung Graham · 1997
Earlier work this paper cites.
Normalized cuts and image segmentation
Jianbo Shi and Jitendra Malik · 2000
Earlier work this paper cites.
A tutorial on spectral clustering
Ulrike Von Luxburg · 2007
Cited alongside, same era.
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
David I Shuman, Sunil K Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst · 2013
Cited alongside, same era.
Learning deep representations for graph clustering
Fei Tian, Bin Gao, Qing Cui, Enhong Chen, and Tie-Yan Liu · 2014
Cited alongside, same era.
Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann Lecun · 2014
Later among the works it cites.
Arbitrary-order proximity preserved network embedding
Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, and Wenwu Zhu · 2018
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…