semi supervised classification with graph convolutional networks学习必记

waves_ug 20 0 PDF 2021-01-31 20:01:41

1 主要解决的问题半监督学习:用于少量节点标签未知,例如文本、citation network、知识图谱分类 2 主要思想采用图卷积中的一阶局部近似(即K=1),这部分的理解可以参考Chebyshev多项式作为GCN卷积核当K=1 时有两个参数,模型scales linearly in the number of graph edges ,同时可以表征局部图结构和节点的特征: 3. 半监度节点分类模型本文模型优缺点 WlW^lWl在各个顶点共享,与顶点个数无关,可以用于大规模数据集,但是这个模型对于同阶的邻域上分配给不同的邻居的权重是完全相同的,这是由于GCN度矩阵的形式

用户评论

暂无评论

Hierarchical sparse representation based Multi Instance Semi Supervised Learning

Hierarchical sparse representation based Multi-Instance Semi-Supervised Learning with application to

17 2021-02-23
Semi Supervised Multimodal Relevance Vector Regression Improves Cognitive Perfor

Accurate estimation of cognitive scores for patients can help track the progress of neurological dis

9 2021-02-09
The Chinese multi word expression extraction based on improved semi supervised a

The Chinese multi-word expression extraction based on improved semi-supervised algorithm

15 2021-02-09
Pedestrian Attribute Recognition with Graph Convolutional Network in Surveillanc

Pedestrian Attribute Recognition with Graph Convolutional Network in Surveillance Scenarios

25 2020-07-21
Graph Matching Networks for Learning the Similarity of Graph Structured Objects

近日，DeepMind和谷歌联合进行了一项研究，该研究提出了一种执行相似性学习的新型强大模型——图匹配网络（GMN），性能优于GNN和GCN模型。该论文已被ICML2019接收。DeepMind和谷歌

51 2019-09-14
Graph Similarity and Classification20190419.zip

Graph Similarity and Classification,来自法国LIX实验室的Michalis教授在清华大学的演讲稿。

6 2021-04-20
Graph Theoretic Methods in Multiagent Networks

(Princeton Series in Applied Mathematics) Mehran Mesbahi, Magnus Egerstedt-Graph Theoretic Methods i

54 2018-12-25
Distributed Graph Algorithms for Computer Networks

DistributedGraphAlgorithmsforComputerNetworks========================================Series:Computer

43 2019-07-17
Graph Theory and Complex Networks An Introduction

byMaartenvanSteen(Author)=============================Thisbookaimstoexplainthebasicsofgraphtheorytha

35 2019-07-09
java必记单词

java很好的java学习文档，是学习java的入门基础，谢谢你的下载

37 2019-09-02

semi supervised classification with graph convolutional networks学习必记

用户评论

推荐下载