Adaptive multi-modal dynamic graph neural networks: enhancing structure modeling and discriminability for waste classification.
- DOI
- 10.1016/j.wasman.2026.115797
- Published
- 2026 Sep 30
- Container
- Waste management (New York, N.Y.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.wasman.2026.115797,
title = {Adaptive multi-modal dynamic graph neural networks: enhancing structure modeling and discriminability for waste classification.},
author = {Yang Y and Luo Y and Yang Y and Lv S and Wang Z and Liang J and Gao W and Geng C and Guan Y and Tian X and Kong X},
year = {2026},
journal = {Waste management (New York, N.Y.)},
doi = {10.1016/j.wasman.2026.115797},
url = {https://doi.org/10.1016/j.wasman.2026.115797}
}RIS
TY - JOUR TI - Adaptive multi-modal dynamic graph neural networks: enhancing structure modeling and discriminability for waste classification. AU - Yang Y AU - Luo Y AU - Yang Y AU - Lv S AU - Wang Z AU - Liang J AU - Gao W AU - Geng C AU - Guan Y AU - Tian X AU - Kong X PY - 2026 JO - Waste management (New York, N.Y.) DO - 10.1016/j.wasman.2026.115797 UR - https://doi.org/10.1016/j.wasman.2026.115797 ER -
APA
Y, Y., Y, L., Y, Y., S, L., Z, W., J, L., W, G., C, G., Y, G., X, T., & X, K. (2026). Adaptive multi-modal dynamic graph neural networks: enhancing structure modeling and discriminability for waste classification.. Waste management (New York, N.Y.). https://doi.org/10.1016/j.wasman.2026.115797
Source records
- pubmed · retrieved 2026-09-26T15:15:56.237Z