The article focuses on the final step of link prediction using Neptune ML, detailing how to establish an inference endpoint for a trained Graph Neural Network (GNN) model. It guides readers through the necessary configurations, such as IAM role setup for S3 and SageMaker access, plus establishing VPC endpoints. The endpoint is created using the Neptune cluster's API, allowing users to generate link predictions via Gremlin queries, thereby maximizing the prediction capabilities of the trained model on the Twitch social network data.
Using the Neptune cluster's API, we can create an inference endpoint to leverage our trained GNN model for effective link predictions.
The inference process allows us to query the model for potential connections in the graph, utilizing a Gremlin query for higher confidence.
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