Converting a Tabular Dataset to a Graph Dataset for GNNs

preview_player
Показать описание
▬▬ Code ▬▬▬▬▬

▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬
Music from Uppbeat (free for Creators!):
License code: VCV7HTCWOOON7WAS

▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬▬
All Icons are from Freepic (flaticon)

▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:50 Homogeneous graphs
08:16 Heterogeneous graphs
14:44 Final remarks

▬▬ Support me if you like 🌟

▬▬ My equipment 💻
Рекомендации по теме
Комментарии
Автор

Ah man, I was struggling for the past two days with this. You are a savior!

pranayreddy
Автор

This is such a beautiful tutorial. I cannot thank you enough, I had been searching for a solution to this problem for months, and just now did i come across your video. You have saved my final year project. Thank you so much

govindaagrawal
Автор

You deserve a subscriber. Your content is next level in terms of knowledge and the way you explain things. Thankyou so much

adarshsingh
Автор

This is some of the best learning material I have found on youtube, thank you so much!

lola-jpzs
Автор

I am really looking forward to watch the second video about the temporal graph datasets!

jakubpiatek
Автор

Exceptionally clear! Thank you for making this!

princessdickens
Автор

You can simply calculate the distance between the instances

nazarzaki
Автор

Thank you for your time making these videos and sharing information, which are not clearly described in manuscripts.

zabedecora
Автор

Thanks for your content. It helped me a lot!

saeidkazemi
Автор

I really needed this video, thank you soo much man!! appretiate your work❤

theorists
Автор

Thank you so very much. It has been really useful for me.

edlec
Автор

Very good video! One of the biggest problems is always how to prepare the dataset, and this helped a lot... Can you make a video explaining how to convert PDB file information into graphs to feed in a GCN? I'm having a lot of trouble understanding this...

joanaaraujo
Автор

I really appreciate the information that you shared in this video/playlist. Do you have an example of where you used used the Heterogeneous graph data to create a GNN or GCN?

stevechesney
Автор

thank u a lot for all ur videos :D can u do one about graphsage ?

imadOualid
Автор

Great effort! Could you please kindly do this using an example of healthcare data? I couldn't follow because I don't know anything about football. I've just realised how important the choice of example is in teaching and learning. Thanks again.

BestBits
Автор

Very good tutorial! Is there a tutorial that converts csv files to PyG data objects with multiple graphs for graph classification?

EvanTian-nkkx
Автор

This is a great video I was searching for. Most of the problems when learning GNN are when preparing the dataset. Could you provide an explanation using a very familiar dataset, like "iris_dataset.csv"? I'm sure, this will provide a very clear explanation for those of us who are just starting to learn GNN. Thank you in advance.

sunaryaseo
Автор

Many thanks for your great videos and notebooks, it has been very helpful!
I was wondering when you would recommend the approach for creating a dataset as explained in the video 'GNN Project #2 - Creating a Custom Dataset in Pytorch Geometric' and when you would recommend this approach?

maximecroft
Автор

Can the HeteroData edge index be multi dimensional?

desrucca
Автор

Awesome video. Can you create a video comparing performance of graph model vs say a boosted model on Anime dataset?

jonimatix