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Basic terminology and practices related to graph databases and graph modeling

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Re: Basic terminology and practices related to graph databases and graph modeling

#12
post #5

Great tutorial on graph modeling! The author did an excellent job of explaining the basic terminology and practices related to graph databases and graph modeling. The tutorial is well-structured and easy to follow, making it an excellent resource for anyone looking to learn more about graph modeling. The author covers a wide range of use cases for graph databases, including social networks, fraud detection, network a…

ChatGPT?

What a world we live in, where a person can't write a coherent blurb of text without being suspected of using ChatGPT. Anyone remember Idiocracy? That movie is starting to sound more and more like a prophecy.

Re: Basic terminology and practices related to graph databases and graph modeling

#13
post #10
post #7

Earlier quoted context omitted.

That was the first thing I thought.

But the account is 8 years old.

There's a real person behind the account, but my guess is they are playing around with the shiny new tech.

Re: Basic terminology and practices related to graph databases and graph modeling

#14
post #5

Earlier quoted context omitted.

ChatGPT?

What a world we live in, where a person can't write a coherent blurb of text without being suspected of using ChatGPT. Anyone remember Idiocracy? That movie is starting to sound more and more like a prophecy.

Your original post is a summary without any new ideas or thoughts about the article. That is why it reads like you asked an AI to generate it.

I don’t think the question was meant as an accusation, but it is amusing to think about whether some commenters are using an AI to generate their comments. Would we even notice?

Re: Basic terminology and practices related to graph databases and graph modeling

#15
post #5

Earlier quoted context omitted.

ChatGPT?

What a world we live in, where a person can't write a coherent blurb of text without being suspected of using ChatGPT. Anyone remember Idiocracy? That movie is starting to sound more and more like a prophecy.

Repeating "graph modeling" three sentences in a row, with all those sentences being damn near content-free, reads like it came from something even less capable than ChatGPT, to me.

Re: Basic terminology and practices related to graph databases and graph modeling

#16

Great tutorial on graph modeling! The author did an excellent job of explaining the basic terminology and practices related to graph databases and graph modeling. The tutorial is well-structured and easy to follow, making it an excellent resource for anyone looking to learn more about graph modeling. The author covers a wide range of use cases for graph databases, including social networks, fraud detection, network a…

ChatGPT or not, if this is an honest comment, thnx! :)

Re: Basic terminology and practices related to graph databases and graph modeling

#17

Earlier quoted context omitted.

What a world we live in, where a person can't write a coherent blurb of text without being suspected of using ChatGPT. Anyone remember Idiocracy? That movie is starting to sound more and more like a prophecy.

Your original post is a summary without any new ideas or thoughts about the article. That is why it reads like you asked an AI to generate it. I don’t think the question was meant as an accusation, but it is amusing to think about whether some commenters are using an AI to generate their comments. Would we even notice?

I think we would notice because we would all start to sound alike :D kind of bland

Re: Basic terminology and practices related to graph databases and graph modeling

#20

> Graphs, for example, can have cycles while trees can't. A cycle means that there is only one way to go to a node by following relationships from another node. Typo here, that's the opposite of what cycle means, isn't it?

That’s actually a tree.

A cycle is a path from a node back to itself that does not traverse any edge more than once.

You can have a directed acyclic graph (DAG) where there are multiple paths from one node to another, but there is no way to revisit a node once you have moved on.

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