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Introduction to Graph Neural Networks #12

Closed SauravMaheshkar closed 1 year ago

SauravMaheshkar commented 1 year ago

Title of the talk

Introduction to Graph Neural Networks

Description

This talk will provide an introduction to Graph Neural Networks and motivate their usage. We will go through a brief overview of the various classes of networks i.e. message passing networks, graph convolutional networks, and graph attention networks, and talk about each of them in detail. We will discuss the strengths and weaknesses of each type of networks and how they can be used for different tasks.

What format do you have in mind for your talk?

Talk

Table of contents

What domain would you say your talk falls under?

Data Science & Machine Learning

Duration in minutes (including Q&A)

40-60

Prerequisites

Basic background knowledge about Machine Learning, no advanced knowledge about maths or deep learning is required.

Speaker bio

Saurav Maheshkar is a Research Machine Learning Engineer at Re:courseAI, where he works on Geometric Deep Learning. He studies Computer Science at the University of Manchester with a passion for geometric learning and self-supervised learning. He is currently working on developing self-supervised learning methods for graphs, and is also interested in benchmarking self-supervised learning methods and knowledge distillation methods.

Twitter/X: @MaheshkarSaurav LinkedIn: Saurav Maheshkar

The talk/workshop speaker agrees to

RiteshAgrawal commented 1 year ago

Hi @SauravMaheshkar Would you be able to present the talk in Aug meetup (19th Aug)?

SauravMaheshkar commented 1 year ago

Hey @RiteshAgrawal, I actually just confirmed myself as a speaker at the Docker Meetup on the same day 😅 .