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

• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• keitabroadwater / gnns_in_action
  Code and Content for Manning Publication on Graph Neural Networks
  ☆71Updated last week
• zjost / blog_code
  A repo for holding example code
  ☆152Updated last year
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆35Updated last year
• hypergraphlab / Hypergraph-Tutorial
  ☆55Updated 7 months ago
• sw-gong / GNN-Tutorial
  Graph Neural Network Tutorial
  ☆186Updated 4 years ago
• geopanag / pandemic_tgnn
  ☆47Updated 4 months ago
• Orbifold / pyg-link-prediction
  Pytorch Geometric link prediction of a homogeneous social graph.
  ☆25Updated 2 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆89Updated last month
• abhilash1910 / SpectralEmbeddings
  spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…
  ☆65Updated 3 years ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆125Updated 4 years ago
• Roytsai27 / awesome-GNN4TDL
  Graph Neural Networks for Tabular Data Learning (GNN4TDL)
  ☆89Updated 10 months ago
• zhao-tong / GNNs-easy-to-use
  An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
  ☆61Updated 4 years ago
• sm823zw / Recommendation-System-Using-GNNs
  This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).
  ☆28Updated 3 years ago
• mnslarcher / cs224w-slides-to-code
  ☆59Updated 3 years ago
• maqy1995 / EvolveGCN-DGL
  Implement EvolveGCN by DGL.
  ☆25Updated 3 years ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆55Updated 2 years ago
• sunxiaobei / awesome-attention-based-gnns
  A collection of resources on attention-based graph neural networks
  ☆64Updated last year
• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆275Updated 2 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆45Updated last year
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆184Updated 9 months ago
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆126Updated last year
• linafaik08 / graph_neural_networks
  ☆31Updated 2 years ago
• AndrewSpano / Stanford-CS224W-ML-with-Graphs
  Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.
  ☆41Updated 2 years ago
• deepfindr / gvae
  ☆95Updated 2 years ago
• Charlesvandamme / Inductive-Graph-Representation-Learning-for-Fraud-Detection
  This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…
  ☆33Updated last year
• twitter-research / feature-propagation
  ☆80Updated 2 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆79Updated last year
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆78Updated 3 months ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆75Updated last year