LFattNet
graphtransformer
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LFattNet | graphtransformer | |
---|---|---|
1 | 4 | |
53 | 804 | |
- | 3.5% | |
0.0 | 0.0 | |
over 3 years ago | almost 3 years ago | |
Python | Python | |
MIT License | MIT License |
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LFattNet
graphtransformer
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[D] Laplacian positional encodings
Code for https://arxiv.org/abs/2012.09699 found: https://github.com/graphdeeplearning/graphtransformer
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Resources for graphs and graph based neural networks.
Hi everyone. I am Harshit. I am looking for some resources for GNN's. I am beginner so will you please help me find some resources for the same? I am working on Transformer based Graph networks. (Here)[https://github.com/graphdeeplearning/graphtransformer] is the link of the paper's implementation on which I am working.
What are some alternatives?
attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
spektral - Graph Neural Networks with Keras and Tensorflow 2.
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
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