A self-supervised GNN-Transformer framework for weak microseismic signal identification.
- DOI
- 10.1038/s41598-026-52871-3
- Published
- 2026 May 25
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-52871-3,
title = {A self-supervised GNN-Transformer framework for weak microseismic signal identification.},
author = {Liu M and Deng Z and Li Y and Zhang Z and Fu T},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-52871-3},
url = {https://doi.org/10.1038/s41598-026-52871-3}
}RIS
TY - JOUR TI - A self-supervised GNN-Transformer framework for weak microseismic signal identification. AU - Liu M AU - Deng Z AU - Li Y AU - Zhang Z AU - Fu T PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-52871-3 UR - https://doi.org/10.1038/s41598-026-52871-3 ER -
APA
M, L., Z, D., Y, L., Z, Z., & T, F. (2026). A self-supervised GNN-Transformer framework for weak microseismic signal identification.. Scientific reports. https://doi.org/10.1038/s41598-026-52871-3
Source records
- pubmed · retrieved 2026-09-25T15:00:50.174Z