filmov
tv
Graph Neural Networks (GNN) | Nodes, Edges, Adjacency Matrix, Message Passing, Aggregation explained
Показать описание
Welcome to the first lecture (Lecture 1) of our GNN project-based course. This lecture will give you a basic overview of GNN.
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.
=================================================
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.
=================================================
🌟 Meet Our Team: 🌟
🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper)
🎓 Dr. Rajat Dandekar (Purdue PhD, IIT Madras department gold medalist)
🎓 Dr. Sreedath Panat (MIT PhD, IIT Madras department gold medalist)
🎓 Ms. Aiswarya Nandakumar (Data Scientist, Entrepreneur and ML instructor)
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.
=================================================
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.
=================================================
🌟 Meet Our Team: 🌟
🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper)
🎓 Dr. Rajat Dandekar (Purdue PhD, IIT Madras department gold medalist)
🎓 Dr. Sreedath Panat (MIT PhD, IIT Madras department gold medalist)
🎓 Ms. Aiswarya Nandakumar (Data Scientist, Entrepreneur and ML instructor)
0:14:28
Graph Neural Networks - a perspective from the ground up
0:59:00
An Introduction to Graph Neural Networks: Models and Applications
0:10:24
Introduction To Graph Neural Network | What Are Graph Neural Networks ? | GNN | Simplilearn
1:14:23
Graph Neural Networks (GNN) using Pytorch Geometric | Stanford University
0:29:15
Graph Neural Networks: A gentle introduction
0:08:35
The ultimate intro to Graph Neural Networks. Maybe.
1:54:59
Think Graph Neural Networks (GNN) are hard to understand? Try this two part series..
2:17:20
FIDLE / Travailler avec des données structurées : Graph Neural Network (GNN)
0:29:00
Graph Neural Networks (GNN) | Nodes, Edges, Adjacency Matrix, Message Passing, Aggregation explained
0:51:06
Intro to graph neural networks (ML Tech Talks)
1:59:06
Do you want to know Graph Neural Networks (GNN) implementation in Python?
0:11:38
Introduction to graph neural networks (made easy!)
0:15:00
Understanding Graph Attention Networks
0:32:57
Building Recommender System with GNN - Part1: Intro to GNN
0:12:58
Graph Neural Networks
0:12:03
How Graph Neural Networks Are Transforming Industries
0:05:10
Graph Attention Networks (GAT) in 5 minutes
0:08:18
Understanding Graph Neural Networks | Part 1/3 - Introduction
0:12:09
Self-/Unsupervised GNN Training
0:09:26
Understanding Graph Neural Networks | Part 2/3 - GNNs and it's Variants
0:09:33
The Power of Graph Neural Networks & Running Them on Groq
0:14:26
Friendly Introduction to Temporal Graph Neural Networks (and some Traffic Forecasting)
0:23:22
Graph Neural Network(GNN) | Complete Guide | Computer Vision | Python
0:24:01
Introduction to Graph Neural Networks and What We Can Implement in the Wolfram Language
Комментарии