Graph Models
StoGCN
Introduced by Chen et al. in Stochastic Training of Graph Convolutional Networks with Variance ReductionStoGCN is a control variate based algorithm which allow sampling an arbitrarily small neighbor size. Presents new theoretical guarantee for the algorithms to converge to a local optimum of GCN.
Source: Stochastic Training of Graph Convolutional Networks with Variance Reduction
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
