Graph Machine Learning, Knowledge Graph, Tigergraph, Graph Visualization.
needs and graph ML tasks. This is only to highlight that any data science library within a graph database (query language) has its limitations and that one inevitably needs to resort to a complementary solution outside the database. A typical enterprise architecture with streaming data would entail