How Graph Neural Networks Are Transforming Industries

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Graph Neural Networks (GNN) have been rapidly advancing and have recently become the dark horse behind many exciting achievements, from research breakthroughs to actual solutions with large-scale deployment. But why do Graph Neural Networks (GNN) matter in 2024?

This video will recap some impactful applications of GNNs in science and industry, and the most recent research highlights, focusing on applied use cases. With the latest applications of GNNs spanning from Relational Databases, Materials Science, Dynamical System Modeling, to the most advanced Recommendation Systems out there, we take an overview of diverse application areas unlocked by Graph Machine Learning (Graph ML).

For all references made in the video, see below.

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0:00 Intro
0:44 What are Graph Neural Networks?
1:45 Recommendation Systems
3:19 Traffic Prediction
3:53 Weather Prediction
4:44 Data Mining
6:35 Materials Science
8:02 Drug Discovery
10:05 Protein Design
11:41 Final Words

#machinelearning #deeplearning #ai

AssemblyAI

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Amazing video, one of the best intro to GNNs on YT. Thank you!

samurai-code

Excellent video. I hadn't come across the Relational Deep Learning' paper where data-mining use case of taking relational tables as input. Genius idea.

MarkSimithraaratchy

Thanks for the overview, helped a ton. Would love to see videos diving into GNN architecture

kwongster

Excellent! Very clear, very much well conceived and structured; understendable also by non-experts.

graziamarchese

Nice video ! One could also talk about the incorporation of the powerful transformers architecture into GNN

adrienforbu

Thank you. I have a node/edge graph problem and i need to get smart on GNN in a hurry.🙏🏽

Stewz

Thanks, a good introduction! A friendly comment, there is some dirt on your camera. Looking forward to studying GNNs

yosconisi

I found the dirt on the camera in the center of the screen very distracting. Perhaps you can use AI to remove it 😀

duhfher

can we use a graph transformer in a relational database for the research point of view?

abbasahmad

Graphs can be easily described with sparse matrices, so GNN are not something very special. More tricks are about dataset preparations for their tuning.

art-creator

If you know good video on explaining what GraphNN are, please share. This video requires to know the basics of GNN.

lucrido_ase

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