GraphMixerNetworks
Official Implementation of Graph Mixer Networks (by asarigun)
do-you-even-need-attention
Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723) (by lukemelas)
GraphMixerNetworks | do-you-even-need-attention | |
---|---|---|
2 | 2 | |
15 | 478 | |
- | - | |
4.4 | 0.0 | |
5 months ago | about 3 years ago | |
Python | Python | |
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.
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.
-
[R] Graph Mixer Networks
Found relevant code at https://github.com/asarigun/GraphMixerNetworks + all code implementations here
do-you-even-need-attention
Posts with mentions or reviews of do-you-even-need-attention.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-03.
-
[R] Graph Mixer Networks
Found relevant code at https://github.com/lukemelas/do-you-even-need-attention + all code implementations here
-
[R] Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet
For those who are interested, here's a GitHub repo with pretrained models, a W&B log of the experiments, and a 3-page writeup.
What are some alternatives?
When comparing GraphMixerNetworks and do-you-even-need-attention you can also consider the following projects:
chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
bottleneck - Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
deep_gcns_torch - Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
pytorch_geometric - Graph Neural Network Library for PyTorch