Evaluating Network Embedding Models for Machine Learning Tasks-Reference-Cited by-同舟云学术

Evaluating Network Embedding Models for Machine Learning Tasks

Published:2019-11-26 Issue: Volume: Page:915-927
ISSN:1860-949X
Container-title:Complex Networks and Their Applications VIII
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Author:

Oluigbo Ikenna,Haddad Mohammed,Seba Hamida

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-36687-2_76

Reference19 articles.

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2. Patel, A.S., Ramakrishna, R.M., Jai, M., Singh, K., Sivadasan, N., Balasubramanian, V.N.: HIVEC: a hierarchical approach for vector representation learning of graphs (2018)

3. Grover, A., Leskovec, J.: node2vec: scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD, pp. 855–864 (2016)

4. Jundong, L., Dani, H., Hu, X., Tang, J., Chang, Y., Liu, H.: Attributed network embedding for learning in a dynamic environment, arXiv abs/1706.01860, pp. 1–10 (2017)

5. Perozzi, B., Al-Rfou, R., Skiena, S.: DeepWalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD, pp. 701–710 (2014)

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