Alternatives and similar repositories for Hands-On-Graph-Neural-Networks-Using-Python

Users that are interested in Hands-On-Graph-Neural-Networks-Using-Python are comparing it to the libraries listed below

• mlabonne / graph-neural-network-course
  Free hands-on course about Graph Neural Networks using PyTorch Geometric.
  ☆391Updated 2 years ago
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆612Updated 11 months ago
• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆290Updated last month
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆324Updated 2 years ago
• keitabroadwater / gnns_in_action
  Code and Content for Manning Publication on Graph Neural Networks
  ☆94Updated 5 months ago
• dair-ai / GNNs-Recipe
  🟠 A study guide to learn about Graph Neural Networks (GNNs)
  ☆1,232Updated 2 years ago
• Denis2054 / Transformers-for-NLP-and-Computer-Vision-3rd-Edition
  Transformers 3rd Edition
  ☆439Updated last week
• AntonioLonga / PytorchGeometricTutorial
  Pytorch Geometric Tutorials
  ☆1,128Updated 2 years ago
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆44Updated 3 years ago
• StatQuest / decoder_transformer_from_scratch
  ☆143Updated last year
• xbeat / Machine-Learning
  Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.
  ☆487Updated 5 months ago
• deepfindr / gnn-project
  A Graph Neural Network project on HIV data
  ☆281Updated last year
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆247Updated last year
• PeterGriffinJin / Awesome-Language-Model-on-Graphs
  A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)
  ☆952Updated 5 months ago
• mnslarcher / cs224w-slides-to-code
  ☆59Updated 3 years ago
• xbresson / CS5242_2025
  NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025
  ☆396Updated 4 months ago
• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆395Updated last year
• neo4j-product-examples / graph-machine-learning-examples
  Neo4j Graph Data Science with Graph ML & GNNs
  ☆42Updated 2 years ago
• awslabs / graphstorm
  Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
  ☆425Updated last week
• rohan-paul / LLM-FineTuning-Large-Language-Models
  LLM (Large Language Model) FineTuning
  ☆558Updated 4 months ago
• AndrewSpano / Stanford-CS224W-ML-with-Graphs
  Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.
  ☆46Updated 3 years ago
• arj7192 / MasteringPyTorchV2
  ☆148Updated last year
• xbresson / CS5284_2024
  NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024
  ☆78Updated 9 months ago
• wehos / awesome-graph-transformer
  Papers about graph transformers.
  ☆905Updated 5 months ago
• dcai-course / dcai-lab
  Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽‍💻
  ☆471Updated 5 months ago
• NickKaparinos / Graph-Neural-Network-Projects
  Deep Learning Projects using Graph Neural Networks (GNNs).
  ☆36Updated 3 years ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆260Updated last year
• snap-stanford / relbench
  RelBench: Relational Deep Learning Benchmark
  ☆283Updated last week
• google-research / talk-like-a-graph
  ☆149Updated 11 months ago
• luciusssss / CS224W-Colab
  Solutions for CS224W Winter 2021 Colab
  ☆167Updated last year