I've work with GNNs. I have not explicitly looked into this, but in general, the dynamics of GNNs are really interesting and there are many different lenses in

I've work with GNNs. I have not explicitly looked into this, but in general, the dynamics of GNNs are really interesting and there are many different lenses in which one can study the behavior of GNNs and find interesting takeaways. - Explicit Message Passing: https://arxiv.org/abs/2202.11097 https://arxiv.org/abs/2202.11097 - Algorithmic Reasoning: https://arxiv.org/abs/2203.15544 https://arxiv.org/abs/2203.15544 - Diffusion: https://proceedings.mlr.press/v139/chamberlain21a.html https://proceedings.mlr.press/v139/chamberlain21a.html - Spectral: https://arxiv.org/abs/2010.02863 https://arxiv.org/abs/2010.02863 - Sparsity: https://arxiv.org/abs/2211.15335 https://arxiv.org/abs/2211.15335 - Training Tricks: https://arxiv.org/abs/2108.10521 https://arxiv.org/abs/2108.10521 - Interaction Networks / Physical Models: https://arxiv.org/pdf/1612.00222.pdf https://arxiv.org/pdf/1612.00222.pdf - Expressive Power: https://arxiv.org/abs/2308.08235 https://arxiv.org/abs/2308.08235 - "Over-Squashing": https://arxiv.org/abs/2111.14522 https://arxiv.org/abs/2111.14522