You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets — mentioned by stefanpie

Tue, 19 Sep 2023 16:33:24 GMT

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 - Algorithmic Reasoning: https://arxiv.org/abs/2203.15544 - Diffusion: https://proceedings.mlr.press/v139/chamberlain21a.html - Spectral: https://arxiv.org/abs/2010.02863 - Sparsity: https://arxiv.org/abs/2211.15335 - Training Tricks: https://arxiv.org/abs/2108.10521 - Interaction Networks / Physical…

Paper and discussion history. A mention is not an endorsement.

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets · HackerPapers discussions

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets — mentioned by stefanpie