Sequence-to-sequence modeling for graph representation learning

Aynaz Taheri, Kevin Gimpel, Tanya Berger-Wolf

Open source

DOI: 10.1007/s41109-019-0174-8
Published: 2019-08-24
Container: Applied Network Science
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s41109-019-0174-8,
  title = {Sequence-to-sequence modeling for graph representation learning},
  author = {Aynaz Taheri and Kevin Gimpel and Tanya Berger-Wolf},
  year = {2019},
  journal = {Applied Network Science},
  doi = {10.1007/s41109-019-0174-8},
  url = {https://doi.org/10.1007/s41109-019-0174-8}
}

RIS

TY  - JOUR
TI  - Sequence-to-sequence modeling for graph representation learning
AU  - Aynaz Taheri
AU  - Kevin Gimpel
AU  - Tanya Berger-Wolf
PY  - 2019
JO  - Applied Network Science
DO  - 10.1007/s41109-019-0174-8
UR  - https://doi.org/10.1007/s41109-019-0174-8
ER  -

APA

Taheri, A., Gimpel, K., & Berger-Wolf, T. (2019). Sequence-to-sequence modeling for graph representation learning. Applied Network Science. https://doi.org/10.1007/s41109-019-0174-8

Source records

crossref · retrieved 2026-09-26T15:53:34.045Z