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Welcome to the AtomicGraphNets.jl wiki!
This package is in development as part of the ACED project, funded by ARPA-E DIFFERENTIATE and coordinated by Carnegie Mellon University, in collaboration with Julia Computing, Citrine Informatics, and MIT.
It implements a variety of graph-based methods, such as Crystal Graph Convolutional Neural Nets, in Julia. It makes use of the Flux ecosystem for model building and the JuliaGraphs ecosystem for graph representation, and ChemistryFeaturization for building, featurizing, and visualizing the graphs.