Alternatives and similar repositories for graph-neural-network-course:

Users that are interested in graph-neural-network-course are comparing it to the libraries listed below

• PacktPublishing / Hands-On-Graph-Neural-Networks-Using-Python
  Hands-On Graph Neural Networks Using Python, published by Packt
  ☆791Updated last month
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 2 years ago
• google-research / talk-like-a-graph
  ☆124Updated 4 months ago
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆594Updated 4 months ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆317Updated last year
• keitabroadwater / gnns_in_action
  Code and Content for Manning Publication on Graph Neural Networks
  ☆56Updated 2 weeks ago
• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆272Updated last year
• deepfindr / gnn-project
  A Graph Neural Network project on HIV data
  ☆267Updated 6 months ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆178Updated 7 months ago
• mnslarcher / cs224w-slides-to-code
  ☆58Updated 2 years ago
• mims-harvard / graphml-tutorials
  Tutorials for Machine Learning on Graphs
  ☆213Updated 3 years ago
• snap-stanford / relbench
  RelBench: Relational Deep Learning Benchmark
  ☆236Updated last month
• azminewasi / Awesome-Graph-Research-ICML2024
  All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
  ☆181Updated 2 months ago
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆41Updated 3 years ago
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆71Updated 3 weeks ago
• zjost / blog_code
  A repo for holding example code
  ☆151Updated last year
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆35Updated last year
• luciusssss / CS224W-Colab
  Solutions for CS224W Winter 2021 Colab
  ☆160Updated 6 months ago
• DeepGraphLearning / ULTRA
  A foundation model for knowledge graph reasoning
  ☆502Updated 3 months ago
• AntonioLonga / PytorchGeometricTutorial
  Pytorch Geometric Tutorials
  ☆1,072Updated last year
• awslabs / graphstorm
  Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
  ☆390Updated this week
• kyawlin / GNN-finance
  Curated list of Graph Neural Network Applications in Business, Finance and Banking
  ☆79Updated 6 months ago
• IBM / Multi-GNN
  Multi-GNN architectures for Anti-Money Laundering.
  ☆62Updated 11 months ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆202Updated last week
• chaitjo / geometric-gnn-dojo
  Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
  ☆483Updated 7 months ago
• flyingdoog / awesome-graph-explainability-papers
  Papers about explainability of GNNs
  ☆679Updated last month
• Orbifold / pyg-link-prediction
  Pytorch Geometric link prediction of a homogeneous social graph.
  ☆25Updated 2 years ago
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆126Updated last year
• hdvvip / CS224W_Winter2021
  CS224W Stanford Winter 2021 Homework solutions
  ☆196Updated 2 years ago