{"passport":{"slug":"globalign","display_name":"GlobAlign","model_type":"language","parameter_count":null,"context_window":null,"claimed_developer":"Gl obal representation and optimal transport-based Alignment (GlobAlign)","confirmed_developer":null,"developer_confirmed_at":null,"developer_source":null,"first_appeared_at":"2026-03-15T18:34:00.14901+00:00","first_appeared_on":"rss_pipeline","status":"confirmed","availability":null,"deployment_status":"not_deployed","availability_scope":null,"gate":1,"eu_ai_act":"GPAI","regulatory_status":{"eu_ai_act":"GPAI"},"open_source":null,"weights_available":null,"license":null,"provenance_chain":[],"parent_model":null,"model_family":null,"superseded_by":null,"supersedes":[],"recommended_replacement":null,"product_links":null},"events":[{"event_type":"first_appearance","event_date":"2026-03-15T18:34:00.14901+00:00","title":"First recorded in AI news","detail":"The paper proposes a new graph alignment method called GlobAlign and its variant GlobAlign-E, which aim to address the limitations of existing embedding and optimal transport-based approaches in terms of model accuracy-efficiency tradeoff. The methods utilize global attention mechanism and hierarchical cross-graph transport cost to capture long-range and implicit node dependencies.","source_url":"https://arxiv.org/abs/2603.08526","source_name":"ArXiv AI"}],"delta":{"days_unattributed":116,"claimed_developer":"Gl obal representation and optimal transport-based Alignment (GlobAlign)","confirmed_developer":null,"match":false}}