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文章 2024-12-06 来自：开发者社区

深入解析图神经网络：Graph Transformer的算法基础与工程实践

Graph Transformer是一种将Transformer架构应用于图结构数据的特殊神经网络模型。该模型通过融合图神经网络(GNNs)的基本原理与Transformer的自注意力机制，实现了对图中节点间关系信息的处理与长程依赖关系的有效捕获。 Graph Transformer的技术优势在处理图结构数据任务时，Graph Transformer相比传统Transformer具有显著优势.....

文章 2022-02-17 来自：开发者社区

Tensorflow源码解析3 -- TensorFlow核心对象 - Graph

1 Graph概述计算图Graph是TensorFlow的核心对象，TensorFlow的运行流程基本都是围绕它进行的。包括图的构建、传递、剪枝、按worker分裂、按设备二次分裂、执行、注销等。因此理解计算图Graph对掌握TensorFlow运行尤为关键。 2 默认Graph 默认图替换之前讲解Session的时候就说过，一个Session只能run一个Graph，但一个Graph可以运....

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更新时间 2024-12-12 16:57:23

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