<p>As I wrote in the title, what are the advantages of time-varying graph CNNs compared to fixed graph? For example, in CORA, which is a graph of citation relations of papers frequently used in graph CNN, what examples are there?</p>

CC BY-SA 4.0
2019-07-04T09:00:22.570Z
Are you asking the difference between the architectures? CORA is a dataset. "what examples are there?", of what?
nbro
CC BY-SA 4.0
2019-07-04T10:46:27.540Z
@nbro i mean what is the advantage of using CNN of a time-varying graph to CORA compared to using CNN of a fixed graph to CORA?
unsmoother
CC BY-SA 4.0
2019-07-04T10:50:23.427Z
What do you mean by CNN of a time-varying graph and CNN of a fixed graph? Do you mean respectively a time-varying GCN and a non-time-varying GCN?
nbro
CC BY-SA 4.0
2019-07-04T12:37:00.973Z
@nbro yes, sorry for my bad english
unsmoother
<machine-learning><convolutional-neural-networks><graphs><geometric-deep-learning><graph-theory>
What are the advantages of time-varying graph CNNs compared to fixed graph?
unsmoother
# What are the advantages of time-varying graph CNNs compared to fixed graph?

(Asked by: username_0 on 2019-07-04)

As I wrote in the title, what are the advantages of time-varying graph CNNs compared to fixed graph? For example, in CORA, which is a graph of citation relations of papers frequently used in graph CNN, what examples are there?

**Tags:** machine-learning, convolutional-neural-networks, graphs, geometric-deep-learning, graph-theory

> **Comments:**
> **username_1**: Are you asking the difference between the architectures? CORA is a dataset. "what examples are there?", of what?  
> **username_0**: @username_1 i mean what is the advantage of using CNN of a time-varying graph to CORA compared to using CNN of a fixed graph to CORA?  
> **username_1**: What do you mean by CNN of a time-varying graph and CNN of a fixed graph? Do you mean respectively a time-varying GCN and a non-time-varying GCN?  
> **username_0**: @username_1 yes, sorry for my bad english  

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## 0 answers

