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Network Representation Learning: From Traditional Feature Learning to
  Deep Learning

Network Representation Learning: From Traditional Feature Learning to Deep Learning

7 March 2021
Ke Sun
Lei Wang
Bo Xu
Wenhong Zhao
S. Teng
Feng Xia
    GNN
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Papers citing "Network Representation Learning: From Traditional Feature Learning to Deep Learning"

3 / 3 papers shown
Title
TPM: Transition Probability Matrix -- Graph Structural Feature based
  Embedding
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding
Sarmad N. Mohammed
Semra Gunducc
26
1
0
07 Aug 2022
Spectral Inference Networks: Unifying Deep and Spectral Learning
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau
Stig Petersen
Ashish Agarwal
David Barrett
Kimberly L. Stachenfeld
49
40
0
06 Jun 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
239
31,257
0
16 Jan 2013
1