# Knowledge Graph Retrieval on PKG Hop 5 Source: [Knowledge Graph Retrieval on PKG Hop 5]() Collection index: [llms.txt]() Data updated: 2026-04-23T07:38:06.924Z Evaluation of model performance on the PKG Hop 5 dataset for Knowledge Graph Retrieval, measured using metrics like QT (ms) and TR (%). A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Knowledge Graph Retrieval | | Dataset (including any stated split) | PKG Hop 5 | | Metric | QT (ms) | | Unit | TIME | | Direction | Lower is better | | Results loaded | 17 of 17 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [QT (ms)](): Lower is better; unit: TIME. - [TR (%)](): Higher is better; unit: PERCENT. ## Recorded results | Method | QT (ms) | Result date | Report paper | | --- | --- | --- | --- | | LogosKG (Torch-GPU) | 101.05 | Not recorded | 69e85bd77d0172140ec81151 | | LogosKG (Numba) | 204.25 | Not recorded | 69e85bd77d0172140ec81151 | | GraphBLAS | 415.43 | Not recorded | 69e85bd77d0172140ec81151 | | SNAP | 446.15 | Not recorded | 69e85bd77d0172140ec81151 | | igraph | 580.91 | Not recorded | 69e85bd77d0172140ec81151 | | LogosKG (SciPy) | 677.23 | Not recorded | 69e85bd77d0172140ec81151 | | PyG | 735.34 | Not recorded | 69e85bd77d0172140ec81151 | | DGL | 1099.26 | Not recorded | 69e85bd77d0172140ec81151 | | NetworkX | 1511.28 | Not recorded | 69e85bd77d0172140ec81151 | | cuGraph | 1616.55 | Not recorded | 69e85bd77d0172140ec81151 | | LogosKG (Torch-CPU) | 2207.25 | Not recorded | 69e85bd77d0172140ec81151 | | graph-tool | 2306.34 | Not recorded | 69e85bd77d0172140ec81151 | | LogosKG (Large-Numba) | 4085.72 | Not recorded | 69e85bd77d0172140ec81151 | | LogosKG (Large-Torch-GPU) | 4482.14 | Not recorded | 69e85bd77d0172140ec81151 | | LogosKG (Large-SciPy) | 4532.75 | Not recorded | 69e85bd77d0172140ec81151 | | LogosKG (Large-Torch-CPU) | 7467.56 | Not recorded | 69e85bd77d0172140ec81151 | | Neo4j | 10000 | Not recorded | 69e85bd77d0172140ec81151 | ### LogosKG (Torch-GPU) QT (ms): 101.05. Result ID: 69e9cc4047f34ce924d0a5da. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backend":"Torch","Hardware":"GPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### LogosKG (Numba) QT (ms): 204.25. Result ID: 69e9cc4047f34ce924d0a5d7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backend":"Numba","Hardware":"CPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### GraphBLAS QT (ms): 415.43. Result ID: 69e9cc4047f34ce924d0a5d2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Hardware":"CPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### SNAP QT (ms): 446.15. Result ID: 69e9cc4047f34ce924d0a5d1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Hardware":"CPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### igraph QT (ms): 580.91. Result ID: 69e9cc4047f34ce924d0a5cf. [Reporting paper]() Recorded evaluation configuration: {"Hardware":"CPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### LogosKG (SciPy) QT (ms): 677.23. Result ID: 69e9cc4047f34ce924d0a5d8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backend":"SciPy","Hardware":"CPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### PyG QT (ms): 735.34. Result ID: 69e9cc4047f34ce924d0a5d6. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Hardware":"GPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### DGL QT (ms): 1099.26. Result ID: 69e9cc4047f34ce924d0a5d5. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Hardware":"GPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### NetworkX QT (ms): 1511.28. Result ID: 69e9cc4047f34ce924d0a5ce. [Reporting paper]() Recorded evaluation configuration: {"Hardware":"CPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### cuGraph QT (ms): 1616.55. Result ID: 69e9cc4047f34ce924d0a5d4. [Reporting paper]() Recorded evaluation configuration: {"Hardware":"GPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### LogosKG (Torch-CPU) QT (ms): 2207.25. Result ID: 69e9cc4047f34ce924d0a5d9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backend":"Torch","Hardware":"CPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### graph-tool QT (ms): 2306.34. Result ID: 69e9cc4047f34ce924d0a5d0. [Reporting paper]() Recorded evaluation configuration: {"Hardware":"CPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. ### LogosKG (Large-Numba) QT (ms): 4085.72. Result ID: 69e9cc4047f34ce924d0a5db. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backend":"Numba","Hardware":"CPU","Scale Variant":"Large"}. This record does not assert independent reproduction. ### LogosKG (Large-Torch-GPU) QT (ms): 4482.14. Result ID: 69e9cc4047f34ce924d0a5de. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backend":"Torch","Hardware":"GPU","Scale Variant":"Large"}. This record does not assert independent reproduction. ### LogosKG (Large-SciPy) QT (ms): 4532.75. Result ID: 69e9cc4047f34ce924d0a5dc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backend":"SciPy","Hardware":"CPU","Scale Variant":"Large"}. This record does not assert independent reproduction. ### LogosKG (Large-Torch-CPU) QT (ms): 7467.56. Result ID: 69e9cc4047f34ce924d0a5dd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backend":"Torch","Hardware":"CPU","Scale Variant":"Large"}. This record does not assert independent reproduction. ### Neo4j QT (ms): 10000. Result ID: 69e9cc4047f34ce924d0a5d3. [Reporting paper]() Recorded evaluation configuration: {"Hardware":"CPU","Scale Variant":"Standard"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.