Building Recommender System with GNN - Part1: Intro to GNN

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Welcome to this video. This is Part1 of the Building Recommender System with GNN using PyTorch series.

In this video, I explained the basic concepts of Graph Neural Network both intuitively and mathematically. I also covered basic explanation of LightGCN as well as very important concepts of Graph Representation with a small hands on session at the end.

Hope you enjoy this video. Don't hesitate to leave a comment if you have any questions.

Likes 👍🏼, subscribes 🔔 and sharing are always much appreciated and will be my motivations to make more videos! 🙌🏼

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very very good! here is what i need - explanation and visualization . Huge volume of info, but all about subject. THks to Autor!

leorayder-rx
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Very nicely explained Trey 👏. Look forward to viewing your follow-up sessions.

satishchandragullena
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Very informative video. Thank you very much.

doyleBellamy
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thank you it was helpful have question how can i apply GNN or LightGCN on LastFM datasets using TAGS

ameurwalid
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Thanks your video. It helps me a lot. But I still have a question. In your case, your interaction matrix has two objects which are user and item. What if I have more than two objects? What does the interaction matrix look like?

SamoSkywalker