AGNN: Alternating graph-regularized neural networks to alleviate over-smoothing
Graph convolutional network (GCN) with the powerful capacity to explore graph-structural
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Z Chen, Z Wu, Z Lin, S Wang, C Plant, W Guo - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Abstract Graph Convolutional Network (GCN) with the powerful capacity to explore graph-
structural data has gained noticeable success in recent years. Nonetheless, most of the …
structural data has gained noticeable success in recent years. Nonetheless, most of the …
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing.
Z Chen, Z Wu, Z Lin, S Wang, C Plant… - IEEE Transactions on …, 2023 - europepmc.org
Graph convolutional network (GCN) with the powerful capacity to explore graph-structural
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
[PDF][PDF] AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
C Plant, W Guo - chenzl23.github.io
Graph convolutional network (GCN) with the powerful capacity to explore graph-structural
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Z Chen, Z Wu, Z Lin, S Wang, C Plant… - arXiv preprint arXiv …, 2023 - arxiv.org
Graph Convolutional Network (GCN) with the powerful capacity to explore graph-structural
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Z Chen, Z Wu, Z Lin, S Wang, C Plant… - IEEE transactions on … - pubmed.ncbi.nlm.nih.gov
Graph convolutional network (GCN) with the powerful capacity to explore graph-structural
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
data has gained noticeable success in recent years. Nonetheless, most of the existing GCN …
[引用][C] AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Z Chen, Z Wu, Z Lin, S Wang, C Plant, W Guo - CoRR, 2023 - eprints.cs.univie.ac.at
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing - CS Faculty
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