{"data":{"full_name":"JieZheng-ShanghaiTech/PiLSL","name":"PiLSL","description":"PiLSL is a pairwise interaction learning-based graph neural network (GNN) model for prediction of synthetic lethality (SL) as anti-cancer drug targets. It learns the representation of pairwise interaction between two genes from a knowledge graph (KG).","stars":12.0,"forks":1.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"drug-discovery-ml","last_pushed_at":"2024-12-04T01:55:54+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":5.0,"maturity_score":9.0,"community_score":6.0,"quality_score":20.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-05T20:45:14.635151+00:00"}}