To build a knowledge graph, the most important things are the nodes and the edges between them. The main idea is to go through each sentence and build two lists. One with the entity pairs and ...

First is Node2Vec, a popular graph embedding algorithm that uses neural networks to learn continuous feature representations for nodes, which can then be used for downstream machine learning tasks.

- Performance Improvement: Traversal Optimization: Scenes now load up to 2.5x faster when compared with Katana 7.0, thanks to Katana’s Node Graph traversal process being ported over from Python ...