Merve Gürel presented “An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation” at the Deep Learning on Graphs Workshop at the AAAI Conference on Artificial Intelligence 2020

Merve Gürel presented the following paper at the Deep Learning on Graphs Workshop at the AAAI Conference on Artificial Intelligence 2020:

"An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation" by Nezihe Merve Gürel (ETH Zurich), Hansheng Ren (Microsoft Research), Yujing Wang (Microsoft Research), Hui Xue (Microsoft Research), Yaming Yang (Microsoft Research) and Ce Zhang (ETH Zurich).