Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks

30 Jan 2020Victor-Alexandru DarvariuStephen HailesMirco Musolesi

Graphs can be used to represent and reason about real world systems and a variety of metrics have been devised to quantify their global characteristics. An important property is robustness to failures and attacks, which is relevant for the infrastructure and communication networks that power modern society... (read more)

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