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    • Knowledge distillation on neural networks for evolving graphs 

      Antaris S., Rafailidis D., Girdzijauskas S. (2021)
      Graph representation learning on dynamic graphs has become an important task on several real-world applications, such as recommender systems, email spam detection, and so on. To efficiently capture the evolution of a graph, ...