GraphMixerNetworks VS deep_gcns_torch

Compare GraphMixerNetworks vs deep_gcns_torch and see what are their differences.

GraphMixerNetworks

Official Implementation of Graph Mixer Networks (by asarigun)
geometric-deep-learning gnns mlp-mixer graphmixernets
Source Code
arxiv.org
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deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org (by lightaime)
graph-neural-networks geometric-deep-learning 3d-point-clouds deep-gcns Data Mining Pytorch Computer Vision Bioinformatics cheminformatics social-network science-research Deep Learning graph-convolutional-networks
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GraphMixerNetworks deep_gcns_torch
2 1
15 1,118
- -
4.4 0.0
6 months ago almost 2 years ago
Python Python
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

GraphMixerNetworks

Posts with mentions or reviews of GraphMixerNetworks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-03.

deep_gcns_torch

Posts with mentions or reviews of deep_gcns_torch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-04.

What are some alternatives?

When comparing GraphMixerNetworks and deep_gcns_torch you can also consider the following projects:

chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

pytorch_geometric - Graph Neural Network Library for PyTorch

bottleneck - Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.

graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

do-you-even-need-attention - Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)

Ringer-Client - Ringer is a new messaging app for windows. Its currently in beta but lets work together to make it better. The code here is snapshot code so it might not work as intended. To get the latest stable build pls download the installer.

Bi-Real-net - Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV

nasa_impacts - Plotly visualizations of NASA's IMPACTS snow storm study program

GraphMixerNetworks vs chemicalx deep_gcns_torch vs pytorch_geometric GraphMixerNetworks vs bottleneck deep_gcns_torch vs dgl GraphMixerNetworks vs pytorch_geometric deep_gcns_torch vs graphlearn-for-pytorch GraphMixerNetworks vs do-you-even-need-attention deep_gcns_torch vs Ringer-Client deep_gcns_torch vs Bi-Real-net deep_gcns_torch vs nasa_impacts