Alternatives and similar repositories for gnns_in_action

Users that are interested in gnns_in_action are comparing it to the libraries listed below

• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆318Updated last month
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆44Updated 4 years ago
• mlabonne / graph-neural-network-course
  Free hands-on course about Graph Neural Networks using PyTorch Geometric.
  ☆419Updated 2 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆102Updated 3 years ago
• zjost / blog_code
  A repo for holding example code
  ☆158Updated 6 months ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆326Updated 2 years ago
• AndrewSpano / Stanford-CS224W-ML-with-Graphs
  Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.
  ☆49Updated 3 years ago
• alenegro81 / gpml
  This repo contains all the code required by the book organized by chapter
  ☆76Updated 4 years ago
• hypergraphlab / Hypergraph-Tutorial
  ☆61Updated last year
• zjost / intro-to-gnns-course
  Videos, quizzes, code, and slideshows for an Introduction to Graph Neural Networks course
  ☆130Updated last month
• steveazzolin / gdl_tutorial_turinginst
  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
  ☆59Updated 2 years ago
• xbresson / CS5284_2024
  NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024
  ☆80Updated last year
• linafaik08 / graph_neural_networks
  ☆31Updated 3 years ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆241Updated 2 months ago
• PacktPublishing / Modern-Graph-Theory-Algorithms-with-Python
  Modern Graph Theory Algorithms with Python, published by Packt
  ☆38Updated last month
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆37Updated 2 years ago
• Orbifold / pyg-link-prediction
  Pytorch Geometric link prediction of a homogeneous social graph.
  ☆26Updated 2 years ago
• waittim / graph-fraud-detection
  Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
  ☆46Updated 4 years ago
• mims-harvard / graphml-tutorials
  Tutorials for Machine Learning on Graphs
  ☆232Updated 4 years ago
• deepfindr / gnn-project
  A Graph Neural Network project on HIV data
  ☆287Updated last year
• mnslarcher / cs224w-slides-to-code
  ☆61Updated 3 years ago
• njmarko / machine-learning-with-graphs
  My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
  ☆29Updated 3 years ago
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆78Updated last week
• ciol-researchlab / SupplyGraph
  SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
  ☆72Updated 11 months ago
• awslabs / graphstorm
  Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
  ☆442Updated last week
• snap-stanford / relbench
  RelBench: Relational Deep Learning Benchmark
  ☆324Updated last week
• neo4j-product-examples / graph-machine-learning-examples
  Neo4j Graph Data Science with Graph ML & GNNs
  ☆46Updated 2 years ago
• leehanchung / cs224w
  Stanford CS224W: Machine Learning with Graphs
  ☆19Updated 4 years ago
• joerg84 / Graph_Powered_ML_Workshop
  Material and Notebooks for the Graph Powered ML Workshop.
  ☆98Updated last year
• kyawlin / GNN-finance
  Curated list of Graph Neural Network Applications in Business, Finance and Banking
  ☆102Updated last year