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Graph-based recommendation system with Neptune ML: An illustration on social network link prediction challenges

Recommendation systems are one of the most widely adopted machine learning (ML) technologies in real-world applications, ranging from social networks to ecommerce platforms. Users of many online systems rely on […]




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HawkEye 360 predicts vessel risk using the Deep Graph Library and Amazon Neptune

This post is co-written by Ian Avilez and Tim Pavlick from HawkEye 360. HawkEye 360 is a commercial radio frequency (RF) constellation, data, and analytics provider. Their signals of interest […]