Many thanks to Antonio Carta (Github /Homepage) for incorporating the Ray library (see v0.4.0) into PyDGN.
Many thanks to Danilo Numeroso (Github /Homepage) for implementing a very flexible random search.
Many thanks to Daniele Castellana (Github /Homepage) for his help on reproducibility through seeds.
Many thanks to Alessio Gravina (Github /Homepage) for his invaluable help on the temporal graph implementation.
Many thanks to Francesco Landolfi (Github) for the suggestions on how to make this library more user-friendly!
Many thanks to Henrik Christiansen (Github) for his help with the post-processing of results!