Recommender Systems using Graph Neural Networks

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▬▬ Used Videos ▬▬▬▬▬▬▬▬▬▬▬
Tom Fisk / Pexels (Intro video)

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▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:26 Classical Methods
03:44 Recommender Systems as Graph
04:53 Literature / Some Papers
09:05 Sequential Recommendation as Graph
12:33 Graph Datasets

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Your clarity solved a bunch of my open questions that arose digging into the topic. Thank you!

daniamaya

Awesome !!!! I was breaking my head to structure the vast information available on GNN. Love this video and ily bro !

mrprime

that s an amazing job! clearly honest deep effort i ncompliling such huge info in a compact and unified language! Congrats on this level of sophistication! Predict an even brighter future for you!

samirelzein

your content and explanation is Incredibly helpful. Thank you

smitshah

As usual Awesome! Just waiting for credit card fraud detection video so that I can learn to transform a tabular data to graph data

aiml

long time no see, i am glad to watch video released by you

clayouyang

great explanation and overview as always :D

foxlikescat

Collaborative Filtering is such an underrated computation method, imho
Many real life problems can be re-interpteted as a recommendation problem. It's just a matter of perspective, but the results can be huge!

transationalien

Felicitaciones, un trabajo excepcional. Saludos

mydigitalwayia

I like your videos so much, so plz keep going on. My question is how can I build a simple model of a recommendation system using graph convolutional network?

withmeeeeT

how did you find these papers? I'm interested in developing a recommendation system for creating outfits for a person i.e. you add a shirt to your shopping cart, the recommender will show pants, shoes, and belts that match the shirt

shattered

Do you have any links to blog post / examples showcasing these methods?

jonimatix

may i ask could we build a decision support system based on knowledge graphs using graph neural networks?

auroraevans

Can you please do a tutorial on edge classification, please? Practical implementation I mean.

meylyssa

I must say your videos are great please keep up the good work. My question is how can i implement a simple recommender system with pytorch geometric. I have a custom dataset with two nodes: movies and user. Furthermore there is an edge that describes only the relation of both nodes. I want to create a bipartite graph like the one from kipf & welling and do a similarity analysis. I know how to get the data into the right format. But since I am new to the subject, I am having a hard time implementing a simple gnn model. If anyone here could help me I would be very grateful.

fatigseyno

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