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cs.LG2026
Towards Understanding and Avoiding Limitations of Convolutions on Graphs
Andreas Roth
While message-passing neural networks (MPNNs) have shown promising results, their real-world impact remains limited. Although various limitations have been identified, their theore…
cs.LG2024
Simplifying the Theory on Over-Smoothing
Andreas Roth
Graph convolutions have gained popularity due to their ability to efficiently operate on data with an irregular geometric structure. However, graph convolutions cause over-smoothin…