Heterogeneous graph neural networks via oversampling and attribute completion.
- DOI
- 10.1016/j.neunet.2026.109579
- Published
- 2026 Aug 31
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109579,
title = {Heterogeneous graph neural networks via oversampling and attribute completion.},
author = {Liu H and Hu D and Zhang Y and Li A and Xia R},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109579},
url = {https://doi.org/10.1016/j.neunet.2026.109579}
}RIS
TY - JOUR TI - Heterogeneous graph neural networks via oversampling and attribute completion. AU - Liu H AU - Hu D AU - Zhang Y AU - Li A AU - Xia R PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109579 UR - https://doi.org/10.1016/j.neunet.2026.109579 ER -
APA
H, L., D, H., Y, Z., A, L., & R, X. (2026). Heterogeneous graph neural networks via oversampling and attribute completion.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109579
Source records
- pubmed · retrieved 2026-09-26T01:05:27.827Z