谷歌大规模算法的相关内容

文章 2022-05-01 来自：开发者社区

谷歌、阿里、腾讯等在大规模图神经网络上必用的GNN加速算法(三）

3.Subgraph sampling3.1 cluster-GCN论文标题：Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks论文来源：KDD2019论文方向：图卷积网络论文链接：https://arxiv.org/abs/1905.07953**主要思路：**....

文章 2022-05-01 来自：开发者社区

谷歌、阿里、腾讯等在大规模图神经网络上必用的GNN加速算法(一）

今天我们来聊一聊在大规模图神经网络上必用的GNN加速算法。GNN在图结构的任务上取得了很好的结果，但由于需要将图加载到内存中，且每层的卷积操作都会遍历全图，对于大规模的图，需要的内存和时间的开销都是不可接受的。现有一些用于加速GNN的算法，基本思路是使用mini-batch来计算，用min-batch的梯度估计full-batch的梯度，通过多次迭代达到基本一致的效果。根据使用的方法不同，大致分....

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更新时间 2024-03-14 17:51:01

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