Alternatives and similar repositories for post--gnn-intro

Users that are interested in post--gnn-intro are comparing it to the libraries listed below

• chaitjo / geometric-gnn-dojo
  Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …
  ☆511Updated last month
• aimat-lab / gcnn_keras
  Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
  ☆118Updated 10 months ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆101Updated 3 years ago
• chrsmrrs / tudataset
  ☆97Updated 2 years ago
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆124Updated 2 years ago
• twitter-research / cwn
  Message Passing Neural Networks for Simplicial and Cell Complexes
  ☆164Updated 2 years ago
• deepfindr / gnn-project
  A Graph Neural Network project on HIV data
  ☆286Updated last year
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆84Updated last year
• snap-stanford / cs224w-notes
  CS224W Course Notes
  ☆313Updated 4 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆83Updated 2 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆222Updated 3 months ago
• sw-gong / GNN-Tutorial
  Graph Neural Network Tutorial
  ☆194Updated 5 years ago
• jiaqingxie / Theories-of-Graph-Neural-Networks
  A List of Papers on Theoretical Foundations of Graph Neural Networks
  ☆39Updated 7 months ago
• saibalmars / GraphRicciCurvature
  A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
  ☆270Updated last year
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆117Updated 4 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆355Updated 5 months ago
• zjost / blog_code
  A repo for holding example code
  ☆158Updated 6 months ago
• brain-research / mpnn
  Open source implementation of "Neural Message Passing for Quantum Chemistry"
  ☆236Updated 8 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…
  ☆54Updated 2 years ago
• datamol-io / graphium
  Graphium: Scaling molecular GNNs to infinity.
  ☆237Updated 6 months ago
• deepfindr / gvae
  ☆100Updated 3 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 2 years ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated 2 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆160Updated 2 years ago
• dmlc / GNNLens2
  Visualization tool for Graph Neural Networks
  ☆256Updated 3 years ago
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆217Updated this week
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆239Updated last month
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆70Updated 7 months ago
• linafaik08 / graph_neural_networks
  ☆31Updated 3 years ago
• google-research / graph-attribution
  Codebase for Evaluating Attribution for Graph Neural Networks.
  ☆83Updated 4 years ago