Data Science with Python : Graph Neural Networks

Welcome to 'DSWP' Team, good to see you here

With this issue, readers will get introduced with core information to Graph Neural Networks along with sample code completely in a effective way.

To get assigned to this issue, add your serial numbers mentioned in the spreadsheet of "Data Science with Python", the approach one would follow and choice you prefer (Documentation, Audio, Video). You can go with all three or any number of options you're interested to work on.

If you had referred any resources, add them up in "DS Resources". Similarly if you had used datasets, include them in "DS Datasets".

Domain : Deep Learning

Mentors Assigned : Shivang Dubey / Nithin

Points to Note :

The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.

"Issue Title" and "PR Title should be the same. Include issue number along with it.

Changes should be made inside the Datascience_With_Python/ directory & Datascience_With_Python branch.

Follow Contributing Guidelines & Code of Conduct before start Contributing.

This issue is only for 'GWOC' contributors of 'DSWP' domain.

All the best. Enjoy your open source journey ahead. 😎

Hello @prathimacode-hub,
Thank you for opening an issue. :octocat:
Note - Self-assigns by the original author will be prioritised by mentors manually
To get assigned to this particular issue please use /assign
Check this guide before contributing.

This issue has been assigned to @Manas1820! It will become unassigned if it isn't closed within 12 days. A maintainer can also add the pinned label to prevent it from being unassigned.

Issue details haven't been given. Sorry. @Manas1820

These are the Details - Approach: Documentation (adding a readme describing the basics and explaining how it works and a sample code on how to use ) Serial number:498 Batch:15

This issue has been assigned to @Manas1820! It will become unassigned if it isn't closed within 12 days. A maintainer can also add the pinned label to prevent it from being unassigned.

@prathimacode-hub , Mam I am M. Ashish Reddy. I would like to do video on this issue. Batch number: 5 serial number:174. Approach: A detailed explanation with examples and real life uses

Issue assigned to @ashish-reddy-20-08 for video contribution

Hello, I am Deepthi M with serial number:172, Batch-5. I would like to do audio on this issue. My approach: a detailed explanation

Issue assigned to @deepthi1107 for audio contribution

girlscript / winter-of-contributing

Data Science with Python : Graph Neural Networks #4207