SeGMA4Rec: Learning stable sequential representations through semantic graph propagation and hierarchical contrastive alignment.
- DOI
- 10.1016/j.neunet.2026.109526
- Published
- 2027 Jan
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109526,
title = {SeGMA4Rec: Learning stable sequential representations through semantic graph propagation and hierarchical contrastive alignment.},
author = {Cui W and Lam HK},
year = {2027},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109526},
url = {https://doi.org/10.1016/j.neunet.2026.109526}
}RIS
TY - JOUR TI - SeGMA4Rec: Learning stable sequential representations through semantic graph propagation and hierarchical contrastive alignment. AU - Cui W AU - Lam HK PY - 2027 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109526 UR - https://doi.org/10.1016/j.neunet.2026.109526 ER -
APA
W, C., & HK, L. (2027). SeGMA4Rec: Learning stable sequential representations through semantic graph propagation and hierarchical contrastive alignment.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109526
Source records
- pubmed · retrieved 2026-11-10T13:17:16.102Z