Evidence-Aware Protein Complex Detection: Methods, Benchmarks, and Reproducibility Challenges
2026-06-03T08:52:17Z•d7d9bb829a3bd20a035b7dbd86758babd6e5f32fe237b8b96dab87be304f8dd9
GIRGLightGBMOllivier-Ricci-curvatureOpenAlexbenchmarkschild-exploitationcommunity-detectionconcept-diffusionevidence-aware-methodsexplainable-MLforecastinggeometric-routinggraph-neural-networksgraph-robustnesshyperbolic-geometrykidfluencer-auditprivacyprotein-complex-detectionquantum-computingreproducibilitysocial-bot-detectiontopology-aware-repair
What happened
This arXiv feed collects method papers across graph methods, machine learning for science forecasting, social-media auditing, and computational biology. Notable items with security/abuse relevance include: SAHG, a sector-anisotropic hyperbolic-geometry graph model aimed at improving social-bot detection via relational signals; TAGR, a topology-aware Gaussian graph-repair method to make GNNs robust to noisy/missing edges; and a fast curvature approximation (CCOM) for Ollivier–Ricci curvature useful in community detection and network analysis. Other papers cover explainable forecasting of emerg[
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- d7d9bb829a3bd20a035b7dbd86758babd6e5f32fe237b8b96dab87be304f8dd9
- Enrichment time
- 2026-06-03T08:52:17Z
- AI-assisted enrichment
- Yes
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