linafaik08 / graph_neural_networksLinks
☆31Updated 3 years ago
Alternatives and similar repositories for graph_neural_networks
Users that are interested in graph_neural_networks are comparing it to the libraries listed below
Sorting:
- here you can find the material used for our Tutorials☆101Updated 3 years ago
- ☆61Updated last year
- Tutorials for Machine Learning on Graphs☆231Updated 4 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆202Updated last year
- A repo for holding example code☆158Updated 5 months ago
- A Graph Neural Network project on HIV data☆286Updated last year
- Course titled Practical Machine Learning on Graphs☆45Updated 5 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆37Updated 2 years ago
- Pytorch Geometric link prediction of a homogeneous social graph.☆26Updated 2 years ago
- TigerLily: Finding drug interactions in silico with the Graph.☆100Updated 2 years ago
- [The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values☆41Updated last year
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆59Updated 2 years ago
- Temporal Graph Benchmark project repo☆239Updated last month
- Explanation method for Graph Neural Networks (GNNs)☆70Updated 7 months ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- Code and Content for Manning Publication on Graph Neural Networks☆106Updated 9 months ago
- Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.☆68Updated last year
- ☆97Updated 2 years ago
- A research library for automating experiments on Deep Graph Networks☆222Updated 3 months ago
- Projects that involve graph datasets☆15Updated 4 years ago
- Implementation of a heterogeneous version of the GNN method MPNN with running code to try it out.☆18Updated last year
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 4 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- Graph Machine Learning, published by Packt☆313Updated 2 weeks ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆63Updated 2 years ago
- Videos, quizzes, code, and slideshows for an Introduction to Graph Neural Networks course☆126Updated last month
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆48Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated 2 years ago
- Graph Neural Networks for Community Detection☆64Updated 5 years ago