Toolknowledge-graphvlatest

Amazon Neptune ML

by Amazon Web Services · paid · Last verified 2026-03-17

Amazon Neptune ML is a managed graph machine learning capability built on Neptune that uses graph neural networks to make predictions on graph data without requiring ML expertise. It automatically trains GNN models on graph structure and node/edge properties for tasks like node classification, link prediction, and regression.

https://aws.amazon.com/neptune/machine-learning/ ↗

C+

C+—Average

Adoption: C+Quality: AFreshness: B+Citations: C+Engagement: F

Specifications

License: Proprietary
Pricing: paid
Capabilities: graph neural networks, node classification, link prediction, graph regression, automated ML on graphs
Integrations: AWS SageMaker, AWS Glue, Apache TinkerPop, SPARQL, openCypher
Use Cases: identity resolution, fraud detection graphs, knowledge graph completion, recommendation via graph structure
API Available: Yes
SDK Languages: python, java
Deployment: aws-managed
Rate Limits: Pay-per-use; instance-based pricing
Data Privacy: AWS standard; VPC isolation; encryption at rest and in transit
Tags: knowledge-graph, aws, gnn, graph-ml, managed, enterprise
Added: 2026-03-17
Completeness: 100%

Index Score

53.8

Adoption

Quality

Freshness

Citations

Engagement

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