keitabroadwater / gnns_in_actionLinks
Code and Content for Manning Publication on Graph Neural Networks
☆114Updated 10 months ago
Alternatives and similar repositories for gnns_in_action
Users that are interested in gnns_in_action are comparing it to the libraries listed below
Sorting:
- Graph Machine Learning, published by Packt☆328Updated 3 weeks ago
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆45Updated 4 years ago
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆424Updated 2 years ago
- here you can find the material used for our Tutorials☆102Updated 3 years ago
- A repo for holding example code☆158Updated 7 months ago
- Hands-On Graph Neural Networks Using Python, published by Packt☆999Updated 3 weeks ago
- NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024☆80Updated last year
- Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.☆50Updated 3 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆38Updated 2 years ago
- SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks☆75Updated 11 months ago
- Temporal Graph Benchmark project repo☆243Updated 3 months ago
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆326Updated 2 years ago
- Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics…☆26Updated 11 months ago
- ☆61Updated 3 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆59Updated 2 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆103Updated last year
- Modern Graph Theory Algorithms with Python, published by Packt☆38Updated 3 weeks ago
- Neo4j Graph Data Science with Graph ML & GNNs☆47Updated 2 years ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆449Updated last week
- Graph Machine Learning course, Xavier Bresson, 2023☆614Updated last year
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆46Updated 4 years ago
- ☆61Updated last year
- Videos, quizzes, code, and slideshows for an Introduction to Graph Neural Networks course☆133Updated 2 months ago
- ☆31Updated 3 years ago
- Tutorials for Machine Learning on Graphs☆231Updated 4 years ago
- Pytorch Geometric link prediction of a homogeneous social graph.☆26Updated 3 years ago
- My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)☆30Updated 3 years ago
- A Graph Neural Network project on HIV data☆287Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆203Updated last year
- Solutions for CS224W Winter 2021 Colab☆171Updated last year