Reservoir-Based Graph Convolutional Networks

Mayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub, Islem Rekik

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DOI: 10.1109/tpami.2026.3670423
Published: 2026-07
Container: IEEE Transactions on Pattern Analysis and Machine Intelligence
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3670423,
  title = {Reservoir-Based Graph Convolutional Networks},
  author = {Mayssa Soussia and Gita Ayu Salsabila and Mohamed Ali Mahjoub and Islem Rekik},
  year = {2026},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  doi = {10.1109/tpami.2026.3670423},
  url = {https://doi.org/10.1109/tpami.2026.3670423}
}

RIS

TY  - JOUR
TI  - Reservoir-Based Graph Convolutional Networks
AU  - Mayssa Soussia
AU  - Gita Ayu Salsabila
AU  - Mohamed Ali Mahjoub
AU  - Islem Rekik
PY  - 2026
JO  - IEEE Transactions on Pattern Analysis and Machine Intelligence
DO  - 10.1109/tpami.2026.3670423
UR  - https://doi.org/10.1109/tpami.2026.3670423
ER  -

APA

Soussia, M., Salsabila, G. A., Mahjoub, M. A., & Rekik, I. (2026). Reservoir-Based Graph Convolutional Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3670423

Source records

crossref · retrieved 2026-09-25T02:17:33.413Z