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
  ☆103Updated 3 years ago
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆44Updated 3 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆223Updated last month
• deepfindr / gnn-project
  A Graph Neural Network project on HIV data
  ☆282Updated last year
• sw-gong / GNN-Tutorial
  Graph Neural Network Tutorial
  ☆192Updated 5 years ago
• alelab-upenn / graph-neural-networks
  Library to implement graph neural networks in PyTorch
  ☆267Updated last year
• chrsmrrs / tudataset
  ☆95Updated 2 years ago
• twitter-research / feature-propagation
  ☆84Updated 3 years ago
• rish-16 / grafog
  Graph Data Augmentation Library for PyTorch Geometric
  ☆132Updated 3 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆566Updated last year
• abhilash1910 / SpectralEmbeddings
  spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…
  ☆64Updated 3 years ago
• keitabroadwater / gnns_in_action
  Code and Content for Manning Publication on Graph Neural Networks
  ☆94Updated 6 months ago
• mims-harvard / graphml-tutorials
  Tutorials for Machine Learning on Graphs
  ☆228Updated 4 years ago
• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆298Updated last week
• 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…
  ☆142Updated 7 months ago
• satrialoka / gnn-from-scratch
  Graph neural network implementation using numpy
  ☆40Updated 6 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 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…
  ☆272Updated 6 months ago
• linafaik08 / graph_neural_networks
  ☆31Updated 3 years ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆71Updated 4 months ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆353Updated 3 months ago
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆36Updated last year
• nd7141 / bgnn
  ☆170Updated last year
• mlabonne / graph-neural-network-course
  Free hands-on course about Graph Neural Networks using PyTorch Geometric.
  ☆397Updated 2 years ago
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆124Updated last year
• snap-stanford / cs224w-notes
  CS224W Course Notes
  ☆311Updated 4 years ago
• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆111Updated 4 years ago
• dglai / dgl_winter_school
  ☆32Updated 4 years ago
• deepfindr / gvae
  ☆98Updated 2 years ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆327Updated 2 years ago