
We are presenting CAPER at #CIKM2022! Feel free to stop by 🙋
Mark Heimann
95 posts

@lastgoodcaesar
Graph machine learning researcher @Livermore_Lab. @UMich ‘20 PhD @WUSTL ‘15 AB/MS. Chess master and powerlifter.

We are presenting CAPER at #CIKM2022! Feel free to stop by 🙋

New Paper Alert #NeurIPS2022: Self-supervised learning with discrete, structured data comes with some twists! In our paper, we explore how data-centric properties known to be crucial to success of visual CL can fail to hold for graph CL. 🧵Abs:arxiv.org/abs/2208.02810






GNNs are widely believed to work well due to the homophily assumption and recent works design new architectures to overcome such heterophily-related limitations. Is Homophily a Necessity for Graph Neural Networks? the answer is in our new preprint: arxiv.org/abs/2106.06134










Making the Speers lab proud (as always!!). Congrats @michmer4


