Illicit Bitcoin transaction detection via feature-gated temporal graph learning

Na Han, Ruixian Zhang, Xiaoyun Liu, Haining Zhang

Open source

DOI: 10.1038/s41598-026-53783-y
Published: 2026-05-17
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-53783-y,
  title = {Illicit Bitcoin transaction detection via feature-gated temporal graph learning},
  author = {Na Han and Ruixian Zhang and Xiaoyun Liu and Haining Zhang},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-53783-y},
  url = {https://doi.org/10.1038/s41598-026-53783-y}
}

RIS

TY  - JOUR
TI  - Illicit Bitcoin transaction detection via feature-gated temporal graph learning
AU  - Na Han
AU  - Ruixian Zhang
AU  - Xiaoyun Liu
AU  - Haining Zhang
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-53783-y
UR  - https://doi.org/10.1038/s41598-026-53783-y
ER  -

APA

Han, N., Zhang, R., Liu, X., & Zhang, H. (2026). Illicit Bitcoin transaction detection via feature-gated temporal graph learning. Scientific Reports. https://doi.org/10.1038/s41598-026-53783-y

Source records

crossref · retrieved 2026-09-25T18:42:16.457Z