Alternatives and similar repositories for blog_code

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

• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆101Updated 3 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆222Updated 3 months ago
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆44Updated 4 years ago
• sw-gong / GNN-Tutorial
  Graph Neural Network Tutorial
  ☆193Updated 5 years ago
• alelab-upenn / graph-neural-networks
  Library to implement graph neural networks in PyTorch
  ☆270Updated last year
• deepfindr / gnn-project
  A Graph Neural Network project on HIV data
  ☆286Updated last year
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆326Updated 2 years ago
• rish-16 / grafog
  Graph Data Augmentation Library for PyTorch Geometric
  ☆133Updated 3 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
  ☆311Updated last week
• chrsmrrs / tudataset
  ☆97Updated 2 years ago
• twitter-research / feature-propagation
  ☆85Updated 3 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆565Updated 2 years ago
• mlabonne / graph-neural-network-course
  Free hands-on course about Graph Neural Networks using PyTorch Geometric.
  ☆409Updated 2 years ago
• FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
  Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…
  ☆276Updated 8 months ago
• mims-harvard / graphml-tutorials
  Tutorials for Machine Learning on Graphs
  ☆230Updated 4 years ago
• satrialoka / gnn-from-scratch
  Graph neural network implementation using numpy
  ☆40Updated 6 years ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆71Updated 6 months ago
• giuseppefutia / notebooks
  Jupyter notebooks for testing ML models
  ☆21Updated 4 years ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆143Updated 9 months ago
• keitabroadwater / gnns_in_action
  Code and Content for Manning Publication on Graph Neural Networks
  ☆105Updated 8 months ago
• deepfindr / gvae
  ☆100Updated 3 years ago
• nd7141 / bgnn
  ☆173Updated last year
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆124Updated 2 years ago
• xbresson / CS5242_2021
  Neural Networks and Deep Learning, NUS CS5242, 2021
  ☆191Updated 4 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆355Updated 5 months ago
• linafaik08 / graph_neural_networks
  ☆31Updated 3 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 2 years ago
• reoneo97 / vae-playground
  Implementation of Variational Autoencoders using Pytorch Lightning
  ☆32Updated 2 years ago
• abhilash1910 / SpectralEmbeddings
  spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…
  ☆64Updated 4 years ago