Simplifying Graph Convolutional Networks SGC代码(pytorch) 一、背景介绍 GCN的灵感来源于深度学习方法,因此可能继承了不必要的复杂度以及冗余计算。本文作者通过去除GCN层间的非线性、将结果函数变为简单的线性变换来降低GCN的复杂度,并从谱分析的角度进行了理论分析与证明。 二、Simpl
因此,本文反复去除GCN层与层之间的非线性,并将最终得到的结果。本文提出的线性模型成为SGC,比起其他的线性模型,本文的线性模型的可解释性更强,并且本文从图卷积的角度对SGC进行了分析。 2.2 Simple Graph Convolution 2.1节介绍了简单的图谱理论,包括图的组成,节点的特征等,此处不详细介绍。对于一个K层的图卷积网络...
每个图中的卷积层和节点表示都是使用三个策略来更新特征传播线性转换 逐点非线性激活Featurepropagation特征传播GCN的特征传播是区别MLP的,因为每一层的...图卷积方法(SimplifyingGraphConvolutional)。通过消除GCN层之间的非线性计算,通过将得到的函数折叠成一个线性变换来减少GCN带来的额外复杂度,并且从图卷积的根源 ...
Graph Convolutional Networks (GCNs) and their variants have experienced significant attention and have become the de facto methods for learning graph representations. GCNs derive inspiration primarily from recent deep learning approaches, and as a result, may inherit unnecessary complexity and redundant com...
In recent years, substantial progress has been made on Graph Convolutional Networks (GCNs). However, the computing of GCN usually requires a large memory space for keeping the entire graph. In consequence, GCN is not flexible enough, especially for large scale graphs in complex real-world ...
ICML 论文Simplifying Graph Convolutional Network的复现 尹梓琦 1枚 AI Studio 经典版 1.8.0 Python3 中级深度学习数据分析分类 2020-09-06 11:09:12 版本内容 Fork记录 评论(5) 运行一下关于AI Studio AI Studio是基于百度深度学习平台飞桨的人工智能学习与实训社区,提供在线编程环境、免费GPU算力、海量开源算法...
This repo contains an example implementation of the Simple Graph Convolution (SGC) model, described in the paper Simplifying Graph Convolutional Networks. SGC removes the nonlinearities and collapes the weight matrices in Graph Convolutional Networks (GCNs) and is essentially a linear model. For an ...
He X., Deng K., Wang X., Li Y., Zhang Y. and Wang M. LightGCN: simplifying and powering graph convolution network for recommendation. In International
特征变化就是将嵌入的特征(经过传播后的特征)于权重矩阵相乘,这样做可以改变特征的维度(因此叫做特征变化)。 非线性激活就是relu函数。 3.3分类器 \hat{\mathbf{Y}}_{\mathrm{GCN}}=\operatorname{softmax}\left(\mathbf{S H}^{(K-1)} \boldsymbol{\Theta}^{(K)}\right)(6) ...
Simplifying Graph Convolutional Networks(SGC) 简化的图卷积网络 论文详解 ICML 2019 技术标签: SGC gcn Graph Convolutional Network文章目录 1 相关介绍 1.1 Simple Graph Convolution (SGC)提出的背景 1.2 SGC效果 2 Simple Graph Convolution 简化的图卷积 2.1 符号定义 2.2 图卷积网络GCN GCN vs MLP Feature ...