[katelatte]

Well done on your work! It's nice to see new tools being developed in graph world, especially in Rust.

I would just like to emphasize that there is a big difference between a graph database and graph algorithms library. This is a thing that has to be taken into account. Besides that, real life use cases usually include dynamic data. That's the reason why Memgraph holds a set of dynamic graph algorithms. For example, we implemented dynamic PageRank algorithm [1] which is the approximation of PageRank carrying the same information as the results of PageRank - the likelihood of random walk ending in a particular vertex. In use cases such as credit card fraud detection, dynamic graph algorithms are of a huge importance to make important decisions as fast as possible. Besides that, we have implemented a set of modules built on top of NVIDIA cuGraph [2] which provides a set of wrappers for most of the algorithms from the cuGraph repository. With GPU-powered graph analytics from Memgraph you can explore huge graphs databases and make decisions without long waits for the results. [3]

[1] https://memgraph.com/docs/mage/query-modules/cpp/pagerank-on... [2] https://memgraph.com/docs/mage/query-modules/cuda/cugraph [3] https://developer.nvidia.com/blog/running-large-scale-graph-...