geometric-gnn-dojo VS benchmarking-gnns

Compare geometric-gnn-dojo vs benchmarking-gnns and see what are their differences.

geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks. (by chaitjo)
geometric-deep-learning graph-neural-networks equivariance equivariant-networks geometric-graphs graph-isomorphism Pytorch pytorch-geometric e3nn
Source Code
arxiv.org
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benchmarking-gnns

Repository for benchmarking graph neural networks (by graphdeeplearning)
graph-representation-learning graph-neural-networks benchmark-framework graph-deep-learning Pytorch dgl Deep Learning
Source Code
arxiv.org
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geometric-gnn-dojo benchmarking-gnns
4 1
426 2,433
- 1.5%
3.8 0.0
11 months ago 11 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

geometric-gnn-dojo

Posts with mentions or reviews of geometric-gnn-dojo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-01.
  • Gentle Introduction to Geometric Graph Neural Networks
    2 projects | news.ycombinator.com | 1 Feb 2023
    Geometric GNNs are an emerging class of GNNs for spatially embedded graphs in scientific and engineering applications, s.a. biomolecular structure, material science, and physical simulations. Notable examples include SchNet, DimeNet, Tensor Field Networks, and E(n) Equivariant GNNs.

    https://github.com/chaitjo/geometric-gnn-dojo/blob/main/geom...

    This notebook and repository aims to serve as a 'Geometric GNNs 101' introduction for newcomers.

    We walk through the basics of GNNs, Geometric Deep Learning, and the PyTorch Geometric library for implementing these concepts.

    Our goal is to help students understand how theory/equations connect to real code.

  • [R] On the Expressive Power of Geometric Graph Neural Networks
    2 projects | /r/MachineLearning | 1 Feb 2023
    Found relevant code at https://github.com/chaitjo/geometric-gnn-dojo + all code implementations here

benchmarking-gnns

Posts with mentions or reviews of benchmarking-gnns. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-27.

What are some alternatives?

When comparing geometric-gnn-dojo and benchmarking-gnns you can also consider the following projects:

graphein - Protein Graph Library

geometric-gnn-dojo vs graphein benchmarking-gnns vs graphein