graphtransformer VS LFattNet

Compare graphtransformer vs LFattNet and see what are their differences.

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21. (by graphdeeplearning)
graph-transformer Transformers Transformer attention graph-neural-networks graph-deep-learning aaai transformer-networks
Source Code
arxiv.org
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LFattNet

Attention-based View Selection Networks for Light-field Disparity Estimation (by LIAGM)
attention Benchmark aaai hci-dataset lightfield Computer Vision Deep Learning disparity
Source Code
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graphtransformer LFattNet
4 1
804 53
3.5% -
0.0 0.0
almost 3 years ago over 3 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.
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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.

graphtransformer

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

LFattNet

Posts with mentions or reviews of LFattNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-17.

What are some alternatives?

When comparing graphtransformer and LFattNet you can also consider the following projects:

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".

spektral - Graph Neural Networks with Keras and Tensorflow 2.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning

GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer

Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

long-range-arena - Long Range Arena for Benchmarking Efficient Transformers

scenic - Scenic: A Jax Library for Computer Vision Research and Beyond

height_estimation - Estimate objects' heights in Street View images

graphtransformer vs performer-pytorch LFattNet vs attention-is-all-you-need-pytorch graphtransformer vs spektral LFattNet vs fashion-mnist graphtransformer vs gnn-lspe LFattNet vs DenseDepth graphtransformer vs GraphGPS LFattNet vs performer-pytorch LFattNet vs Meta-SelfLearning LFattNet vs long-range-arena LFattNet vs scenic LFattNet vs height_estimation