HashGNN: Deep-dive into Neo4j GDS’s new node embedding algorithm

HashGNN: Deep Dive into Neo4j GDS’s New Node Embedding Algorithm

In this article, we will explore alongside a small example how HashGNN hashes graph nodes into an embedding space.

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HashGG (#GNN) is a node embedding technique, which employs concepts of Message Passing Neural Networks (MPNN) to capture high-order proximity and node properties. It significantly speeds-up calculation in comparison to traditional Neural Networks by utilizing an approximation …

algorithms data science graph-data-science machine learning neo4j