• Corpus ID: 246411433

RiskNet: Neural Risk Assessment in Networks of Unreliable Resources

  title={RiskNet: Neural Risk Assessment in Networks of Unreliable Resources},
  author={Krzysztof Rusek and Piotr Borylo and Piotr Jaglarz and Fabien Geyer and Albert Cabellos and Piotr Chołda},
We propose a graph neural network (GNN)-based method to predict the distribution of penalties induced by outages in communication networks, where connections are protected by resources shared between working and backup paths. The GNN-based algorithm is trained only with random graphs generated with the Barabási–Albert model. Even though, the obtained test results show that we can precisely model the penalties in a wide range of various existing topologies. GNNs eliminate the need to simulate… 



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