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Book ChapterOPEN ACCESS

Network Representation

  • Liu Z
  • Lin Y
  • Sun M
Springer Nature Singapore, (2020), 217-284
DOI: 10.1007/978-981-15-5573-2_8
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Abstract

Network representation learning aims to embed the vertexes in a network into low-dimensional dense representations, in which similar vertices in the network should have “close” representations (usually measured by cosine similarity or Euclidean distance...

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Liu, Z., Lin, Y., & Sun, M. (2020). Network Representation. In Representation Learning for Natural Language Processing (pp. 217–284). Springer Nature Singapore. https://doi.org/10.1007/978-981-15-5573-2_8

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