Unifying Graph Neural Networks Through a Common Layer Equation
A unified layer equation decomposes graph neural networks into seven components to compare architectures, derive theoretical bounds, and expose design choices linked to oversmoothi…
Hugging Face · Daily Papers
·Sai Karthik Navuluru, Siddhartha Shankar Das
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·▲ 2 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Sai Karthik Navuluru, Siddhartha Shankar Das, Bo Ni, Hongjie Chen, Yu Wang, Baris Coskunuzer
- 2 upvotes da comunidade
- Temas: graph neural networks, propagation bank, message maps, cross-attention, spectral filtering, global communication
Resumo
Resumo original (em inglês), extraído do paper:
A unified layer equation decomposes graph neural networks into seven components to compare architectures, derive theoretical bounds, and expose design choices linked to oversmoothing and expressivity.Onde ler
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