Amazon Web Services combines Neptune Analytics’ high-performance graph engine with GraphStorm’s scalable open-source graph ML pipeline, streamlining GNN training, embedding generation, and interactive analysis for applications such as fraud detection, recommendation engines, and network biology.

Key points

• Integrates GraphStorm’s scalable GNN training pipeline to generate node embeddings within Neptune Analytics.
• Enriched graphs support interactive, low-latency queries with built-in algorithms like community detection and similarity search.
• Optimized for billion-scale graph workloads, enabling real-time ML-feedback loops across enterprise applications.

Why it matters: Combining GraphStorm’s GNN pipeline with Neptune’s fast graph analytics enables seamless ML-feedback loops and real-time insights across complex network applications.