Network representation learning: a systematic literature review

B Li, D Pi - Neural Computing and Applications, 2020 - Springer
Omnipresent network/graph data generally have the characteristics of nonlinearity,
sparseness, dynamicity and heterogeneity, which bring numerous challenges to network …

Network representation learning: a systematic literature review

B Li, D Pi - Neural Computing and Applications, 2020 - dl.acm.org
Omnipresent network/graph data generally have the characteristics of nonlinearity,
sparseness, dynamicity and heterogeneity, which bring numerous challenges to network …

Network representation learning: a systematic literature review.

B Li, D Pi - Neural Computing & Applications, 2020 - search.ebscohost.com
Omnipresent network/graph data generally have the characteristics of nonlinearity,
sparseness, dynamicity and heterogeneity, which bring numerous challenges to network …

[引用][C] Network representation learning: a systematic literature review

B Li, D Pi - Neural Computing and Applications, 2020 - cir.nii.ac.jp