Graph & Transformer Fraud Detection Papers

Interactive summary of the Safe-Graph curated list

Visualize trends, venues, open-source availability, and hotspots across graph/transformer-based fraud and anomaly detection research. Data is sourced directly from the upstream GitHub repository and can refresh automatically on new commits.

Total papers

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Code availability

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Top venue

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Dominant topic

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What stands out

    Distribution snapshots

    Use the hover tooltips to read exact counts.

    Method & domain signals

    Lightweight NLP tagging on titles to surface method families and application domains.

    Venues and strata

    Top venues plus a breakdown across arXiv, workshops, top-tier conferences/journals, and others.

    Top venues

    Code availability & repos

    Where code is linked, language share and top-starred repositories.

    Top GitHub repos

    Dataset mentions

    Datasets detected from paper titles (heuristic keyword matching).

    Most cited datasets

    Interactive paper table

    Search titles, filter by venue or category, and click links to open the paper or code.

    Resources, toolboxes, surveys

    Curated extras from the upstream README.