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| Attribut | ＋ Werkzeug hinzufügen | |
|---|---|---|
| Category | Scientific ML Libraries & Supporting Tools | — |
| Subcategory | Scientific ML | — |
| Company | AWS Labs / DGL-LifeSci contributors | — |
| Access mode | Public code / project terms | — |
| Licence conditions | Review the linked release, model weights, datasets and service terms separately | — |
| Compute requirements | Consult linked installation guidance; workload dependent | — |
| Biological application | Nicht erfasst | — |
| Research workflow | Nicht erfasst | — |
| Evidence level | Project or provider documentation; no local performance benchmark | — |
| Commercial eligibility | Not independently confirmed | — |
| Price | See project terms; compute costs may apply | — |
| Availability ⓘ | See project access and maintenance status | — |
| Features | Graph-neural-network tooling for chemistry and biology, Input: Molecular graphs and training labels, Output: Graph representations and molecular predictions | — |
| Entry type | Research software / model | — |
| AI role | Scientific machine learning | — |
| Input data | Molecular graphs and training labels | — |
| Output data | Graph representations and molecular predictions | — |
| Validation | Evaluate on representative data; no clinical suitability established | — |
| Type | Nicht erfasst | — |
| Intended use | Biological and pharmaceutical research | — |
| Compatibility | Nicht erfasst | — |
| Limitations | Pin compatible DGL and framework versions; verify model generalization on the intended chemical space. | — |