Alternatives and similar repositories for pytorch-gnn-tutorial-odsc2021

Users that are interested in pytorch-gnn-tutorial-odsc2021 are comparing it to the libraries listed below

• zjost / blog_code
  A repo for holding example code
  ☆158Updated 6 months ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆102Updated 3 years ago
• sw-gong / GNN-Tutorial
  Graph Neural Network Tutorial
  ☆196Updated 5 years ago
• 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
• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆322Updated last week
• mlabonne / graph-neural-network-course
  Free hands-on course about Graph Neural Networks using PyTorch Geometric.
  ☆422Updated 2 years ago
• keitabroadwater / gnns_in_action
  Code and Content for Manning Publication on Graph Neural Networks
  ☆112Updated 10 months ago
• deepfindr / gnn-project
  A Graph Neural Network project on HIV data
  ☆287Updated last year
• xbresson / CS5284_2024
  NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024
  ☆80Updated last year
• Orbifold / pyg-link-prediction
  Pytorch Geometric link prediction of a homogeneous social graph.
  ☆26Updated 2 years ago
• hdvvip / CS224W_Winter2021
  CS224W Stanford Winter 2021 Homework solutions
  ☆197Updated 3 years ago
• luciusssss / CS224W-Colab
  Solutions for CS224W Winter 2021 Colab
  ☆171Updated last year
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆124Updated 2 years ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆203Updated last year
• zahta / Graph-Machine-Learning
  Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics…
  ☆25Updated 11 months ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆122Updated 4 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆102Updated 2 weeks ago
• satrialoka / gnn-from-scratch
  Graph neural network implementation using numpy
  ☆40Updated 6 years ago
• hypergraphlab / Hypergraph-Tutorial
  ☆61Updated last year
• Roytsai27 / awesome-GNN4TDL
  Graph Neural Networks for Tabular Data Learning (GNN4TDL)
  ☆109Updated 5 months ago
• steveazzolin / gdl_tutorial_turinginst
  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
  ☆59Updated 2 years ago
• kyawlin / GNN-finance
  Curated list of Graph Neural Network Applications in Business, Finance and Banking
  ☆103Updated last year
• njmarko / machine-learning-with-graphs
  My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
  ☆30Updated 3 years ago
• alelab-upenn / graph-neural-networks
  Library to implement graph neural networks in PyTorch
  ☆270Updated last year
• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆112Updated 5 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆222Updated last week
• dglai / KDD20-Hands-on-Tutorial
  Scalable Graph Neural Networks with Deep Graph Library
  ☆151Updated 5 years ago
• mnslarcher / cs224w-slides-to-code
  ☆61Updated 3 years ago
• chrsmrrs / tudataset
  ☆97Updated 2 years ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆326Updated 2 years ago