[R] Adaptive Message Passing (Graph Machine Learning)

Capturing *long-range dependencies* is essential for the correct description of complex systems in many scientific fields. Deep Graph Nets, however, suffer from **oversmoothing**, **oversquashing**, and **underreaching**.

This paper proposes a way to mitigate them all, called *Adaptive Message Passing*.

Blog post 📖: [link](https://medium.com/@federicoerrica/adaptive-message-passing-learning-to-mitigate-oversmoothing-oversquashing-and-underreaching-b5cf191fd5cf)

Paper ⚗️: [link](https://arxiv.org/abs/2312.16560)

Authors: *F. Errica, H. Christiansen, V. Zaverkin, T. Maruyama, M. Niepert, F. Alesiani*

Hope you will find it useful!

authors complex systems dependencies fields graph machine machine learning machinelearning paper systems them