PacktPublishing / Hands-On-Graph-Neural-Networks-Using-PythonLinks
Hands-On Graph Neural Networks Using Python, published by Packt
☆972Updated last month
Alternatives and similar repositories for Hands-On-Graph-Neural-Networks-Using-Python
Users that are interested in Hands-On-Graph-Neural-Networks-Using-Python are comparing it to the libraries listed below
Sorting:
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆405Updated 2 years ago
- Graph Machine Learning course, Xavier Bresson, 2023☆616Updated last year
- Graph Machine Learning, published by Packt☆308Updated 2 weeks ago
- Pytorch Geometric Tutorials☆1,141Updated 2 years ago
- Code and Content for Manning Publication on Graph Neural Networks☆100Updated 7 months ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,250Updated 2 years ago
- ☆61Updated 3 years ago
- Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.☆46Updated 3 years ago
- NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024☆79Updated 11 months ago
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆401Updated 6 months ago
- Solutions for CS224W Winter 2021 Colab☆170Updated last year
- Deep Learning Fundamentals -- Code material and exercises☆402Updated last year
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆224Updated 11 months ago
- Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.☆498Updated last month
- here you can find the material used for our Tutorials☆102Updated 3 years ago
- Papers about graph transformers.☆910Updated 7 months ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆434Updated 2 weeks ago
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.☆1,489Updated last month
- ☆149Updated last year
- Educational materials on deep learning by Weights & Biases☆640Updated 9 months ago
- A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)☆966Updated 7 months ago
- Papers about explainability of GNNs☆759Updated 5 months ago
- ☆154Updated last year
- Machine Learning for Imbalanced Data, published by Packt☆277Updated last month
- Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽☆1,165Updated last year
- CS224W Stanford Winter 2021 Homework solutions☆197Updated 3 years ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆248Updated last year
- Code Transformer neural network components piece by piece☆364Updated 2 years ago
- Transformers 3rd Edition☆452Updated 2 months ago