Sampling methods for efficient training of graph convolutional networks: A survey

X Liu, M Yan, L Deng, G Li, X Ye… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
Graph convolutional networks (GCNs) have received significant attention from various
research fields due to the excellent performance in learning graph representations. Although …

[HTML][HTML] Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

X Liu, M Yan, L Deng, G Li, X Ye, D Fan - IEEE/CAA Journal of …, 2022 - ieee-jas.net
Graph convolutional networks (GCNs) have received significant attention from various
research fields due to the excellent performance in learning graph representations. Although …

[PDF][PDF] Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

X Liu, M Yan, L Deng, G Li, X Ye, D Fan - academia.edu
Graph convolutional networks (GCNs) have received significant attention from various
research fields due to the excellent performance in learning graph representations. Although …

Sampling methods for efficient training of graph convolutional networks: A survey

X Liu, M Yan, L Deng, G Li, X Ye, D Fan - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract Graph Convolutional Networks (GCNs) have received significant attention from
various research fields due to the excellent performance in learning graph representations …

Sampling methods for efficient training of graph convolutional networks: A survey

X Liu, M Yan, L Deng, G Li, X Ye, D Fan - arXiv preprint arXiv:2103.05872, 2021 - arxiv.org
Graph Convolutional Networks (GCNs) have received significant attention from various
research fields due to the excellent performance in learning graph representations. Although …

[HTML][HTML] Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

X Liu, M Yan, L Deng, G Li, X Ye, D Fan - IEEE/CAA Journal of …, 2022 - ieee-jas.net
Graph convolutional networks (GCNs) have received significant attention from various
research fields due to the excellent performance in learning graph representations. Although …

[HTML][HTML] Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

X Liu, M Yan, L Deng, G Li, X Ye, D Fan - IEEE/CAA Journal of …, 2022 - ieee-jas.net
Graph convolutional networks (GCNs) have received significant attention from various
research fields due to the excellent performance in learning graph representations. Although …