We present the FAIRnets Knowledge Graph, a large RDF data set with information about neural networks. The data set is based on neural networks published on GitHub using Keras as framework. Furthermore, the data set is implemented in FAIRnets Search (https://km.aifb.kit.edu/services/fairnets/), an online search system by which users can explore and analyze neural networks. More information can be found at https://km.aifb.kit.edu/services/fairnets/ and in the paper Making Neural Networks FAIR (https://arxiv.org/abs/1907.11569). If you use the data set, please cite it as follows (see also in DBLP): Nguyen, Anna, Tobias Weller, Michael Färber and York Sure-Vetter. “Making Neural Networks FAIR.” Knowledge Graphs and Semantic Web Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, Mérida, Mexico, November 26-27, 2020, Proceedings

{"references": ["Ngyuen, Anna, et al. (2020). Making Neural Networks FAIR. Knowledge Graphs and Semantic Web Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, M\u00e9rida, Mexico, November 26-27, 2020, Proceedings"]}