Announcing MAGE 1.1

Memgraph has announced the release of MAGE 1.1, a platform update that introduces advanced graph algorithms for dynamic and temporal graphs, enhancing the extraction of hidden knowledge from streaming graph data. The update includes Dynamic Node2Vec for real-time mapping of graph entities into vector space, Dynamic PageRank for real-time updates on high-scale data without restarting, and Dynamic Community Detection for identifying associations in temporal graphs. The release also marks the return of Rust with compatibility for Memgraph version 2.0+ and support for temporal types, inviting developers to contribute via GitHub. A live demo showcasing these dynamic algorithms on a Twitter network is scheduled, highlighting the potential of using PageRank to identify influential users during the Christmas season. The announcement encourages further exploration of dynamic graph algorithms through additional resources and community engagement on platforms like GitHub and Discord.