Modularity-aware graph autoencoders for joint community detection and link prediction.

Salha-Galvan G, Lutzeyer JF, Dasoulas G, Hennequin R, Vazirgiannis M

Open source

DOI
10.1016/j.neunet.2022.06.021
Published
2022 Sep
Container
Neural networks : the official journal of the International Neural Network Society
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.neunet.2022.06.021,
  title = {Modularity-aware graph autoencoders for joint community detection and link prediction.},
  author = {Salha-Galvan G and Lutzeyer JF and Dasoulas G and Hennequin R and Vazirgiannis M},
  year = {2022},
  journal = {Neural networks : the official journal of the International Neural Network Society},
  doi = {10.1016/j.neunet.2022.06.021},
  url = {https://doi.org/10.1016/j.neunet.2022.06.021}
}

RIS

TY  - JOUR
TI  - Modularity-aware graph autoencoders for joint community detection and link prediction.
AU  - Salha-Galvan G
AU  - Lutzeyer JF
AU  - Dasoulas G
AU  - Hennequin R
AU  - Vazirgiannis M
PY  - 2022
JO  - Neural networks : the official journal of the International Neural Network Society
DO  - 10.1016/j.neunet.2022.06.021
UR  - https://doi.org/10.1016/j.neunet.2022.06.021
ER  - 

APA

G, S., JF, L., G, D., R, H., & M, V. (2022). Modularity-aware graph autoencoders for joint community detection and link prediction.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2022.06.021

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