mnslarcher / cs224w-slides-to-codeLinks
☆59Updated 3 years ago
Alternatives and similar repositories for cs224w-slides-to-code
Users that are interested in cs224w-slides-to-code are comparing it to the libraries listed below
Sorting:
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆389Updated last year
- Solutions for CS224W Winter 2021 Colab☆167Updated last year
- CS224W Stanford Winter 2021 Homework solutions☆197Updated 3 years ago
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆324Updated 2 years ago
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆36Updated last year
- here you can find the material used for our Tutorials☆103Updated 3 years ago
- NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024☆78Updated 9 months ago
- A Graph Neural Network project on HIV data☆281Updated last year
- Papers about explainability of GNNs☆746Updated 3 months ago
- Pytorch Geometric Tutorials☆1,126Updated 2 years ago
- Graph Machine Learning, published by Packt☆287Updated 2 weeks ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆191Updated last year
- Graph Machine Learning course, Xavier Bresson, 2023☆613Updated 11 months ago
- CS224W Course Notes☆308Updated 4 years ago
- Hands-On Graph Neural Networks Using Python, published by Packt☆932Updated last month
- A repo for holding example code☆157Updated 2 months ago
- Code and Content for Manning Publication on Graph Neural Networks☆93Updated 5 months ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,232Updated 2 years ago
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆171Updated 3 years ago
- Graph Neural Network Tutorial☆191Updated 5 years ago
- Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.☆46Updated 3 years ago
- My approach to CS224w [AT] Stanford 2019 : )☆123Updated 4 years ago
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆214Updated 8 months ago
- My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)☆29Updated 3 years ago
- Neural Networks and Deep Learning, NUS CS5242, 2021☆190Updated 3 years ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆532Updated 2 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆95Updated last year
- A curated list of graph data augmentation papers.☆312Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year