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GCN
HyMM: A Hybrid Sparse-Dense Matrix Multiplication Accelerator for GCNs
Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively …
Hunjong Lee
,
Jihun Lee
,
Jaewon Seo
,
Yunho Oh
,
Myung Kuk Yoon
,
Gunjae Koo
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Analyzing GCN Aggregation on GPU
Graph convolutional neural networks (GCNs) are emerging neural networks for graph structures that include large features associated …
Inje Kim
,
Jonghyun Jeong
,
Yunho Oh
,
Myung Kuk Yoon
,
Gunjae Koo
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