Resource Sharing
Edited by: Rabbit
Unknowingly, 2019 is about to pass
Time flies, and you have accompanied us for another year
This year
We have compiled 33 papers and 165 news updates
Prepared 46 paper interpretations
Shared 38 pieces of technical content
Held 6 sessions of AI Talking
And organized 1 offline salon called “Graph Knowledge”
Many friends gathered together because of this
Contributing their professional knowledge and insights
We believe everyone has grown along the way
Many readers often ask Eva in the background
I’m a beginner, how should I get started?
Are there any recommended papers on Graph Neural Networks?
Do you have any practical cases of Graph Neural Networks?
How to solve a certain problem?
Are there any advanced materials for learning GNN?
It is an honor to help you in the vast sea of people.
In 2019, Graph Neural Networks became popular
More and more people started to pay attention and learn about it
So, we took all the materials we have seen, learned, researched, and shared over the past year
And spent a few days organizing them to share with everyone
These include
Major conference papers related to Graph Neural Networks
Presentations PPT by academic leaders
Technical sharing videos
Categorized open-source code collections
Organized datasets related to graphs
And recommended application cases from the industry
You may not be able to finish it in a short time
But that’s okay
We just hope that one day
When you need to look up some information you have seen before
You won’t have to spend half a day recalling or searching
It will quietly be stored in your library
How to Obtain
Add Technical Assistant Eva and reply “Resource Collection”
To get the method of obtaining
Manually enter geetest1024
Or scan the QR code below to add Eva
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