Oversmoothing in neural sheaf diffusion is reframed as representation degeneration in the incidence-quiver harmonic space, with moment-map regularizers and non-uniform stalk dimensions proposed to avoid it.
International Conference on Learning Representations , year=
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SCGNN uses granular-ball computing to partition nodes into groups, builds an anchor-based augmented graph, and fuses predictions with label-consistency supervision to improve semantic consistency in GNNs.
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Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion
Oversmoothing in neural sheaf diffusion is reframed as representation degeneration in the incidence-quiver harmonic space, with moment-map regularizers and non-uniform stalk dimensions proposed to avoid it.
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SCGNN: Semantic Consistency enhanced Graph Neural Network Guided by Granular-ball Computing
SCGNN uses granular-ball computing to partition nodes into groups, builds an anchor-based augmented graph, and fuses predictions with label-consistency supervision to improve semantic consistency in GNNs.