Start next year with a whole new range of features and graph algorithms to gain insights that will make it a happy year indeed! Developed features include improved security, benchmark tests, projected graph visualization, better code suggestion support, C++ API, node classification and link prediction, to name just a few.
The new version of Memgraph’s open-source graph extension library, MAGE, now supports node classification and link prediction algorithms. Install the new version of MAGE if you would like to write custom algorithms faster by using the C++ API, need the igraph algorithms or k-means clustering.
Summer has been a busy time for us. This rainy but extensive release of Memgraph brings you four significant features that are bound to make your life easier. As always, there are also bug fixes and smaller but nice improvements to avoid painful debugging moments as much as possible.
We have a special guest, Michaël Ughetto, a graph data scientist from AstraZeneca. Michaël will discuss how AstraZeneca ingests data sources in the Biological Insights Knowledge Graph (BIKG) and distribute it to data scientists and domain experts.