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Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs

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Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
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spellingShingle Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs
Cybersecurity_journals
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Cybersecurity_journals
sub_discipline_display General
sub_discipline_facet General
subject_display Cybersecurity_journals
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Cybersecurity_journals
Cybersecurity_journals
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Cybersecurity_journals
subject_facet Cybersecurity_journals
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Cybersecurity_journals
title Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs
title_auth Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs
title_full Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs
title_fullStr Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs
title_full_unstemmed Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs
title_short Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs
title_sort bidirectional fusion heterogeneous graph networks for semi-supervised bitcoin transaction anomaly detection in dynamic transaction graphs
topic Cybersecurity_journals
General
Cybersecurity_journals
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0351051