Graph convolutional kernel machine versus graph convolutional networks

Z Wu, Z Zhang, J Fan - Advances in neural information …, 2024 - proceedings.neurips.cc
Graph convolutional networks (GCN) with one or two hidden layers have been widely used
in handling graph data that are prevalent in various disciplines. Many studies showed that …
被引用次数：20 相关文章

Graph convolutional kernel machine versus graph convolutional networks

Z Wu, Z Zhang, J Fan - Proceedings of the 37th International Conference …, 2023 - dl.acm.org
Graph convolutional networks (GCN) with one or two hidden layers have been widely used
in handling graph data that are prevalent in various disciplines. Many studies showed that …

Graph Convolutional Kernel Machine versus Graph Convolutional Networks

Z Wu, Z Zhang, J Fan - neurips.cc
Method Given a fixed λ, the graph convolution reduces the number of support vectors 𝒱𝒱
and has minor influence on the training error ℒ𝑆𝑆 ̂𝐜𝐜, 𝐊𝐊 (𝐿𝐿), which eventually reduces …

Graph Convolutional Kernel Machine versus Graph Convolutional Networks

Z Wu, Z Zhang, J Fan - Thirty-seventh Conference on Neural Information … - openreview.net
Graph convolutional networks (GCN) with one or two hidden layers have been widely used
in handling graph data that are prevalent in various disciplines. Many studies showed that …