{"slug":"k-dense-ai-torch-geometric","source_name":"k-dense-ai/torch-geometric","name":"K Dense AI/Torch Geometric","description":"PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.","version":1,"lift":{"pass_rate_delta_pts":0,"pass_rate_pct":95.5,"total_cases":22,"passed_cases":21,"tokens_delta_pct":239.7,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-09T10:54:11.869607+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":0,"with_pass_pct":95.5,"without_pass_pct":95.5,"tokens_delta_pct":239.7,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-09T10:54:11.869607+00:00","run_id":"51271e65-26f8-4f85-b18a-fb6670d24ab9","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT license","install_count":0,"manifest_hash":"d477c51184038500bdda33c4475b8e7cacfc5b6e43b7f54c7db72572ce1fc898","raw_url":"https://app.decimal.ai/s/k-dense-ai-torch-geometric/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/k-dense-ai-torch-geometric"}