One thing that I particularly like in this course is that prof. Jure Leskovec doesn't jump into graph neural networks right away. Instead, beside the graph definition intro, there's an introduction on pre-GNN (traditional ML) approaches. How did people solve graph tasks before GNNs? They did feature engineering. I'm ok the lecture 2.3 right now and I enjoy an overview of feature engineering approaches given by Prof. Jure.
I rarely comment on videos, but whoever made the, uh, subtitles has included the minor stutters, 'uh's and 'um's and it's infuriating. Can't unhear them and it drives me, um, mad, ugh. So, uh, unnecessary! :( Jure speaks fluently and I wouldn't have noticed those minor imperfections unless the useless addition to the subtitles. Thank you for the otherwise awesome uploads! :)
![Lp. Сердце Вселенной #60 РОЖДЕНИЕ ЛОЛОЛОШКИ [Финал] • Майнкрафт](http://i.ytimg.com/vi/YoR0pAV9FVQ/mqdefault.jpg)
Seriously, Stanford are the best... thank you for sharing all those playlists
This playlist inspired me to do my master's degree thesis on Graph ML. Thanks Professor Jure!
One thing that I particularly like in this course is that prof. Jure Leskovec doesn't jump into graph neural networks right away. Instead, beside the graph definition intro, there's an introduction on pre-GNN (traditional ML) approaches. How did people solve graph tasks before GNNs? They did feature engineering. I'm ok the lecture 2.3 right now and I enjoy an overview of feature engineering approaches given by Prof. Jure.
What an introduction! I am so happy I found this course. Thank you Prof. Jurke
I am addicted to Prof. Jure's accent now😂!!!
Отличный английский! Я больше не чувствую себя ущербным ) Очень легко воспринимать на слух. Спасибо большое!!!!!!!!!!!!!!
🤣
thanks Prof.Jurke for share this course. interesting in a knowledge acquisition topic. Useful
Thank you so much for uploading this video. This is an invaluable lesson for me.
Wow! A good way to start.
Thanks so much for uploading. I'm currently going through your whole course and lecture videos online.
Awesome, happy learning!
Superb !
Great Introduction
Awesome course. I am already hooked.
Great introduction, thank you for sharing
good Renglish, better than my Chenglish.
FIRE intro !
His accent made me think of Zizek, and then I found out he's also from Slovenia ;) Great introduction
So did the scope of his ambition! 🙇🏻♂
in wish of the lectures was back propagation in gnn's discussed
where can we find these slides?
Thank u so much for the sharing the videos.. very useful lecture!
Can I finish all these courses and be a knowledge graph superman? Not sure, but I will just give it a try!
can I save a clip?
I rarely comment on videos, but whoever made the, uh, subtitles has included the minor stutters, 'uh's and 'um's and it's infuriating. Can't unhear them and it drives me, um, mad, ugh. So, uh, unnecessary! :(
Jure speaks fluently and I wouldn't have noticed those minor imperfections unless the useless addition to the subtitles. Thank you for the otherwise awesome uploads! :)
Do you know that you can switch off the subtitles and watch the video?
How would I properly cite this lecture video in APA 7 format?
Can anyone tell what slang is that???
perfect
pow pow pow
Russian 🙂
Slovenian
@@chrisoman87 cool