Corpus ID: 145047970

Network Representation Learning: Consolidation and Renewed Bearing

@article{Gurukar2019NetworkRL,
  title={Network Representation Learning: Consolidation and Renewed Bearing},
  author={Saket Gurukar and Priyesh Vijayan and A. Srinivasan and Goonmeet Bajaj and Chen Cai and Moniba Keymanesh and S. Kumar and Pranav Maneriker and A. Mitra and Vedang Patel and Balaraman Ravindran and S. Parthasarathy},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.00987}
}
  • Saket Gurukar, Priyesh Vijayan, +9 authors S. Parthasarathy
  • Published 2019
  • Computer Science, Mathematics
  • ArXiv
  • Graphs are a natural abstraction for many problems where nodes represent entities and edges represent a relationship across entities. An important area of research that has emerged over the last decade is the use of graphs as a vehicle for non-linear dimensionality reduction in a manner akin to previous efforts based on manifold learning with uses for downstream database processing, machine learning and visualization. In this systematic yet comprehensive experimental survey, we benchmark… CONTINUE READING
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