Comments (4)
第8页,如果同构图是指图中的节点类型和关系类型都仅有一种。那么这种图就不会存在节点分类。因为节点只有一种类型。
from graphneuralnetwork.
作者您好,我感觉第五页K阶子图定义有些问题。这里面写的E‘={eij|任意 vj,d(vi,vj)<=k}
这里面如果eij图中根本不存在这条边,但是存在这个路径所以说这可能会有些问题。所以我认为E‘={elm|任意 vj,d(vi,vj)<=k,elm属于Pij}
希望得到您的回复。目前正在认真阅读图卷积知识。
你理解的对, 严格来说这个定义需要保证e_{ij}在边的集合中
from graphneuralnetwork.
第8页,如果同构图是指图中的节点类型和关系类型都仅有一种。那么这种图就不会存在节点分类。因为节点只有一种类型。
这个地方你混淆了节点类型与标记, 比如说由论文引用关系构成的图中, 节点类型只有论文, 关系只有引用, 因此是一个同构图, 但可以进行论文领域分类的任务
from graphneuralnetwork.
from graphneuralnetwork.
Related Issues (20)
- 【图分类】代码中,将数据集换成另外的二分类数据集比如:DBLP_v1,提示:类值为负! HOT 3
- 关于chapter7 graphsage 每轮epoch最后一轮batch src_node变成1000 但是设置的根节点数目为16 HOT 1
- 关于书的92、93、94页的疑问和错误。 HOT 1
- 能不能把电子版本里面的错误都改掉? HOT 15
- 5.5卷积神经网络的疑问? HOT 1
- P88 5.3节 特征矩阵计算错误? HOT 1
- something seems wrong in the file of main.py in chapter07 HOT 1
- 35页公式2.23上面一句话有错 HOT 1
- 第九章的代码 HOT 2
- 关于第7章GAT部分的一些错误 HOT 1
- Unpicklingerror: invalid loadkey,' \ x0a' HOT 2
- 第5章勘误 HOT 2
- 第五章勘误:Laplacian Matrix的正交分解 HOT 3
- 公式5.18如何理解 HOT 1
- 第五章代码有错误 HOT 6
- Issue in generating .test.index file
- 关于chapter7中GraphSAGE的代码中好像并没有体现采样顺序k->1,聚合顺序1->k的问题
- Node classification task
- 77页的公式不太对
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from graphneuralnetwork.