{"ID":2875350,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.02113","arxiv_id":"2509.02113","title":"HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis","abstract":"The advancement of graph-based malware analysis is critically limited by the absence of large-scale datasets that capture the inherent hierarchical structure of software. Existing methods often oversimplify programs into single level graphs, failing to model the crucial semantic relationship between high-level functional interactions and low-level instruction logic. To bridge this gap, we introduce \\dataset, the largest public hierarchical graph dataset for malware analysis, comprising over \\textbf{200M} Control Flow Graphs (CFGs) nested within \\textbf{595K} Function Call Graphs (FCGs). This two-level representation preserves structural semantics essential for building robust detectors resilient to code obfuscation and malware evolution. We demonstrate HiGraph's utility through a large-scale analysis that reveals distinct structural properties of benign and malicious software, establishing it as a foundational benchmark for the community. The dataset and tools are publicly available at https://higraph.org.","short_abstract":"The advancement of graph-based malware analysis is critically limited by the absence of large-scale datasets that capture the inherent hierarchical structure of software. Existing methods often oversimplify programs into single level graphs, failing to model the crucial semantic relationship between high-level function...","url_abs":"https://arxiv.org/abs/2509.02113","url_pdf":"https://arxiv.org/pdf/2509.02113v2","authors":"[\"Han Chen\",\"Hanchen Wang\",\"Hongmei Chen\",\"Ying Zhang\",\"Lu Qin\",\"Wenjie Zhang\"]","published":"2025-09-02T09:10:52Z","proceeding":"cs.LG","tasks":"[\"cs.LG\",\"cs.AI\",\"cs.CR\",\"cs.SI\"]","methods":"[]","project_urls":"[\"https://higraph.org\"]","has_code":false,"code_links":[{"ID":610202,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2875350,"paper_url":"https://arxiv.org/abs/2509.02113","paper_title":"HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis","repo_url":"https://github.com/hzcheney/HiGraph","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0},{"ID":610203,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2875350,"paper_url":"https://arxiv.org/abs/2509.02113","paper_title":"HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis","repo_url":"https://github.com/malicialab/avclass","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0},{"ID":610204,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2875350,"paper_url":"https://arxiv.org/abs/2509.02113","paper_title":"HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis","repo_url":"https://github.com/androguard/androguard","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0},{"ID":610205,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2875350,"paper_url":"https://arxiv.org/abs/2509.02113","paper_title":"HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis","repo_url":"https://github.com/nerfies/nerfies.github.io","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}