Let us code a Graph Neural Network (GNN) from Scratch in 30 minutes | Build your first GNN
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- Опубліковано 28 вер 2024
- Although the theory of GNN is available from various sources, it is very tricky to implement a GNN.
This lecture has a singular goal. To help you build your first Graph Neural Network from scratch. Once you follow this lecture, you should confident to implement a basic GNN that can perform tasks like predicting the interaction between a set of people or user-item interaction prediction in e-commerce.
This lecture is apart of the GNN project-based course series.
The best way to learn ML is by doing. The best thing to do is an impactful research paper. You might be a complete beginner. But don't worry. This course is exactly meant for you.
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Graph Neural Network (GNN) Lecture series + research is a project instructed by Ms. Aiswarya Nandakumar.
GNN lecture series is not a normal video course. In this project, we will teach GNN and conducting research in it from scratch. We will make lecture notes, and also share reference material.
As we learn the material, we will share thoughts on what is actually useful in industry and what has become irrelevant. We will also share a lot of information on which subject contains open areas of research. Interested students can also start their research journey there.
Students who are confused or stuck in their ML journey, maybe courses and offline videos are not inspiring enough. What might inspire you is if you see someone else learning and implementing machine learning from scratch.
No cost. No hidden charges. Pure old school teaching and learning.
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🌟 Meet Our Team: 🌟
🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper)
🔗 LinkedIn: / raj-abhijit-dandekar-6...
🎓 Dr. Rajat Dandekar (Purdue PhD, IIT Madras department gold medalist)
🔗 LinkedIn: / rajat-dandekar-901324b1
🎓 Dr. Sreedath Panat (MIT PhD, IIT Madras department gold medalist)
🔗 LinkedIn: / sreedath-panat
🎓 Ms. Aiswarya Nandakumar (Data Scientist, Entrepreneur and ML instructor)
🔗 LinkedIn: / aiswarya-k-147a3a116
Here is the link to the notebook. Feel free to access it!
colab.research.google.com/drive/1x-MRiW0fooJFnFTFv9FvWW-lsWZJNb17?usp=sharing
The visualisation is really impressive. Is it possible to do for Link prediction problem. Kindly do one project on link prediction problem.
Link to colab notebook?
Appreciate your efforts!
Madam, is it possible for to develop a graph based knowledge representation using GNN for a medical AI recommendation system?
Ma'am, can you please share the link to colab notebook. Thanks.
The visualisation is really impressive. Is it possible to do for Link prediction problem. Kindly do one project on link prediction problem.
Really great videos.!!
Good 👍
@vizuara you are great mentor 2 years back I visited Stanford lectures. They are pure theories now the knowledge is refreshed. Thanks for the tutorial. Keep sharing such content.
1 month ho gya,
2 video aayi hai mushkil se
Very useful session. Implemented this. Waiting for next lecture.
Great class. Got a clear idea of classification