{"adoption": {"forks": 329, "observed_at": "2026-08-28T04:05:41.555796+00:00", "stars": 1827}, "canonical_url": "https://ross.abutalabs.com/products/awesome-fraud-detection-papers", "card": {"archived": false, "artifact_type": "learning-resource", "description": "A curated list of data mining papers about fraud detection.", "domain": ["machine-learning", "data-science", "fintech", "awesome-lists"], "enriched": true, "function": ["machine-learning", "data-science", "nlp"], "health_score": 72, "homepage": null, "language": "Python", "license": "CC0-1.0", "license_family": "permissive", "maturity": "active", "member_repos": ["benedekrozemberczki/awesome-fraud-detection-papers"], "name": "benedekrozemberczki/awesome-fraud-detection-papers", "platform": ["cross-platform"], "pushed_at": "2026-01-05T12:28:59+00:00", "repo": "benedekrozemberczki/awesome-fraud-detection-papers", "stars": 1827, "tags": ["awesome-list", "fraud-detection", "research-papers", "curated-list", "graph-neural-networks", "anomaly-detection", "credit-card-fraud"], "topics": ["fraud-detection", "fraud-prevention", "fraud-checker", "fraud-management", "fraud-explorer", "classification", "data-science", "churn", "credit-scoring", "deep-learning", "random-forest", "gradient-boosting", "data-mining", "link-prediction", "graph-classification", "classifier", "logistic-regression", "credit-card-fraud", "credit-card-validation", "credit-card-fraud-detection"], "urls": [], "use_cases": ["find research papers on fraud detection", "survey graph-based fraud detection methods", "learn about credit card fraud detection models", "keep up with latest fraud detection research", "find papers on anomaly detection in transactions", "research fraud detection for a fintech project"], "what_it_is": "A curated awesome-list of academic research papers on fraud detection, spanning data mining, graph learning, and machine learning venues like KDD, AAAI, and WWW. It organizes papers by year and conference with links to publications.", "when_to_avoid": ["you need production-ready fraud detection software", "you want runnable code rather than papers", "you need tutorials or beginner learning material"], "when_to_choose": ["you need a curated reading list of fraud detection literature", "you are a researcher or student surveying the field", "you want paper links organized by venue and year"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/awesome-fraud-detection-papers", "repo": "benedekrozemberczki/awesome-fraud-detection-papers", "role": "main", "score": 58}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:41.555796+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:19:25.224965+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6680d1438c624ed3e91a7e96284a3466c08896ac24892befc172f0ffd3c1a624", "fetched_at": "2026-08-28T04:05:41.555796+00:00", "kind": "readme", "missing": false, "url": "https://github.com/benedekrozemberczki/awesome-fraud-detection-papers"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 60, "longevity": 100, "rhythm": 32}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2655, "days_push": 240, "days_rel": 240, "gap_med": null, "n_releases_24m": 1}, "score": 58, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}