Alternatives and similar repositories for PytorchGeometricTutorial

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

• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,853Updated 2 years ago
• wehos / awesome-graph-transformer
  Papers about graph transformers.
  ☆913Updated 7 months ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,694Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,216Updated 7 months ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆1,012Updated last year
• flyingdoog / awesome-graph-explainability-papers
  Papers about explainability of GNNs
  ☆765Updated 2 weeks ago
• sw-gong / GNN-Tutorial
  Graph Neural Network Tutorial
  ☆193Updated 5 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,048Updated 6 months ago
• deepfindr / gnn-project
  A Graph Neural Network project on HIV data
  ☆286Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,634Updated 2 years ago
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆1,005Updated 4 years ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,045Updated 2 years ago
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,129Updated last year
• divelab / DIG
  A library for graph deep learning research
  ☆1,995Updated last year
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,059Updated 2 years ago
• mlabonne / graph-neural-network-course
  Free hands-on course about Graph Neural Networks using PyTorch Geometric.
  ☆408Updated 2 years ago
• hdvvip / CS224W_Winter2021
  CS224W Stanford Winter 2021 Homework solutions
  ☆197Updated 3 years ago
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆677Updated 3 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆565Updated 2 years ago
• rampasek / GraphGPS
  Recipe for a General, Powerful, Scalable Graph Transformer
  ☆796Updated last year
• benedekrozemberczki / pytorch_geometric_temporal
  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
  ☆2,894Updated last month
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆956Updated last year
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆416Updated 4 years ago
• luciusssss / CS224W-Colab
  Solutions for CS224W Winter 2021 Colab
  ☆170Updated last year
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,257Updated 4 years ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆588Updated 4 years ago
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆397Updated last year
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,279Updated last year
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆101Updated 3 years ago
• snap-stanford / cs224w-notes
  CS224W Course Notes
  ☆313Updated 4 years ago