basiralab / DGLLinks
Deep Graph-Based Learning Course (ICL, Computing)
☆49Updated 10 months ago
Alternatives and similar repositories for DGL
Users that are interested in DGL are comparing it to the libraries listed below
Sorting:
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆421Updated 2 years ago
- Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imagi…☆211Updated last year
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆326Updated 2 years ago
- ☆89Updated 2 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 curated list of topological deep learning (TDL) resources and links.☆268Updated 2 months ago
- NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024☆80Updated last year
- Graph Neural Network Tutorial☆196Updated 5 years ago
- Solutions for CS224W Winter 2021 Colab☆171Updated last year
- ☆61Updated last year
- A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.☆235Updated 2 years ago
- here you can find the material used for our Tutorials☆102Updated 3 years ago
- Graph Convolutional Neural Networks for Alzheimer’s Classification with transfer learning and HPC methods☆12Updated 4 years ago
- Code and Content for Manning Publication on Graph Neural Networks☆110Updated 9 months ago
- Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of a…☆30Updated 2 years ago
- Graph Machine Learning course, Xavier Bresson, 2023☆614Updated last year
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 4 years ago
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆178Updated 3 years ago
- ☆61Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks☆18Updated 3 years ago
- Pytorch Geometric link prediction of a homogeneous social graph.☆26Updated 2 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆195Updated 2 years ago
- Hands-On Graph Neural Networks Using Python, published by Packt☆997Updated this week
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆203Updated last year
- Benchmarks for Graph Machine Learning in Brain Connectomics☆42Updated 10 months ago
- A topological machine learning framework based on PyTorch☆198Updated 2 months ago
- Machine Learning for Neuroscience Module, Spring 2023 (https://www.imperial.ac.uk/study/courses/postgraduate-taught/translational-neurosc…☆33Updated 2 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆25Updated 5 years ago
- CS224W Stanford Winter 2021 Homework solutions☆196Updated 3 years ago