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Scalable graph algorithms in Rust (and Python)

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FOSDEM

Graphs are used in many different applications as they are an intuitive way for representing complex relationships between entities, as for example in social, communication, financial or geographical networks. Graphs in these domains can be very large, potentially spanning multiple millions and even billions of nodes and edges. In order to get analytical insights out of these structures, scalable implementations of graph algorithms are necessary. Rust is the ideal language for implementing such

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Other talks by Paul Horn

The journey of hacking in a new serde dataformat

FOSDEM

The latest version of neo4rs—a Rust driver for the Neo4j graph database developed under the "Neo4j Labs" incubator—changes its API for reading data to use serde. Serde is a library for serialization and deserialization of any user-defined type into and from a number of different data formats. Most material about serde focuses on the user-defined types, though for this talk, I want to present the—still ongoing—journey of building a new bolt dataformat for serde. Follow me down the rabbit hole and peek under the hood of serde to show how the various types and traits interact, what gotchas and caveats await and how to craft an API that is more than just 1:1 struct <--> data mapping.