Deep Graph Generative Models (Stanford University - 2019)

In this video you will learn about the generative models which are applied directly on graph structures. This is a lecture of Stanford University.

[@SCIISano]

Great Lecturer, he put a lot of effort into his slides.

[@Vikram-wx4hg]

Super teacher!

[@torstenschindler1965]

QED is qualitative estimate of druglikeness and not quantum energy.
Anyway, nice presentation!

[@prarthana1122]

Thank you for the lecture.
I have a list of datasets, each data contain information of adjacent face points. i have conveted those points to graph using NetworkX and Deep graph library. My problem is now how do I use those graph or adjacent face points for data clustering? Basically, How do I cluster using list of graph points?

[@debajyotisg]

Hi, thank you for uploading the video. Can you upload the hands on tutorial video?

[@MachineLearningTV]

Yep... soon we will upload this video

[@debajyotisg]

@@MachineLearningTV ooo boy, can't wait. Thanks for uploading the videos! :D

[@talinemard6481]

@@MachineLearningTV hello, could you provide the link to the hands on tutorial? I can't find it

[@swyamsingh9624]

When other videos can be upload?

[@MachineLearningTV]

We have already uploaded 3 videos. The next week we will update new videos.

[@viralgupta5630]

@@MachineLearningTV Are these videos from cs224w course?. If yes are you uploading all the videos of the course?

[@stex5026]

Lecture 10