Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.1 - Why Graphs
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: stanford.io/3Bu1w3n
Jure Leskovec
Computer Science, PhD
Graphs are a general language for describing and analyzing entities with relations/interactions. There are many types of networks and graphs, such as social networks, communication and transaction networks, biomedine networks, brain networks, etc. In this course, we will take advantage of relational structure for better prediction.
To follow along with the course schedule and syllabus, visit:
web.stanford.edu/class/cs224w/
Chapters:
0:00 Intro
00:05 Welcome to Machine Learning with Graphs
03:29 Natural Graphs or Networks
04:16 Relational Structure
07:24 How do we develop neural networks that are applicable to complex data types like graphs?
10:06 Traditional methods for machine learning and graphics - graphlets and graph kernels
11:24 Outline for the course
Пікірлер: 32
What an introduction! I am so happy I found this course. Thank you Prof. Jurke
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.
Отличный английский! Я больше не чувствую себя ущербным ) Очень легко воспринимать на слух. Спасибо большое!!!!!!!!!!!!!!
Seriously, Stanford are the best... thank you for sharing all those playlists
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.
Great introduction, thank you for sharing
Great Introduction
Awesome course. I am already hooked.
Thanks so much for uploading. I'm currently going through your whole course and lecture videos online.
@stanfordonline
Жыл бұрын
Awesome, happy learning!
How would I properly cite this lecture video in APA 7 format?
Thank u so much for the sharing the videos.. very useful lecture!
FIRE intro !
Wow! A good way to start.
I am addicted to Prof. Jure's accent now😂!!!
where can we find these slides?
Superb !
Can anyone tell what slang is that???
good Renglish, better than my Chenglish.
perfect
in wish of the lectures was back propagation in gnn's discussed
His accent made me think of Zizek, and then I found out he's also from Slovenia ;) Great introduction
@replicatedpoststatemachine
Жыл бұрын
So did the scope of his ambition! 🙇🏻♂
can I save a clip?
Can I finish all these courses and be a knowledge graph superman? Not sure, but I will just give it a try!
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! :)
There exists a different approach to predicting.
pow pow pow
Russian 🙂
@chrisoman87
Жыл бұрын
Slovenian
@paganlion1003
Жыл бұрын
@@chrisoman87 cool