Graph Neural Networks for Research Topic Classification

Aug 31, 2026 · 5h 10m 15s
Graph Neural Networks for Research Topic Classification
Description

Welcome to Sheryians AI School Your one-stop destination to explore Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Python, and everything smart enough to shape the future. Instructor in this...

show more
Welcome to Sheryians AI School
Your one-stop destination to explore Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Python, and everything smart enough to shape the future.

Instructor in this video
Tanishq Vyas

In this video, we build an end-to-end Research Topic Classification project using Graph Convolutional Networks (GCN) with PyTorch. We work with graph-based data, train a GCN model to classify research topics, convert the trained model using ONNX, and deploy it for real-world inference.

Code Files
https://github.com/tanishq-latent/CORA-Project

Data Analytics Course
https://www.sheryians.com/courses/6a6…

Data Science Course
https://www.sheryians.com/courses/68d…

Discord
https://discord.gg/7R5eJT99B

❤️ Support the Channel
Don’t forget to LIKE 👍, SUBSCRIBE 🔔 for more AI & Data-focused learning, and COMMENT 💬 below if you have any questions or topic suggestions.

🌐 Connect With Sheryians - https://sheryians.com/

📷 Instagram - https://www.instagram.com/sheryians.ai?igsh=empvcXdkanlrN3Iz

SheryiansAISchool, ArtificialIntelligence, MachineLearning, DataScience, DataAnalysis, Python, GraphNeuralNetworks, GCN, PyTorch, ONNX, DeepLearning, AIProjects, MLProjects, AIForBeginners, MLForBeginners, DataScienceCareer
show less
Information
Author fert
Organization fert
Website -
Tags
-

Looks like you don't have any active episode

Browse Spreaker Catalogue to discover great new content

Current

Podcast Cover

Looks like you don't have any episodes in your queue

Browse Spreaker Catalogue to discover great new content

Next Up

Episode Cover Episode Cover

It's so quiet here...

Time to discover new episodes!

Discover
Your Library
Search