# Why can we perform graph convolution using the standard 2d convolution with $1 times Gamma$ kernels?

Artificial Intelligence Asked on January 1, 2022

Recently I was reading this paper Skeleton Based Action RecognitionUsing Spatio Temporal Graph Convolution. In this paper, the authors claim (below equation (ref{9})) that we can perform graph convolution with the following formula

$$mathbf{f}_{o u t}=mathbf{Lambda}^{-frac{1}{2}}(mathbf{A}+mathbf{I}) mathbf{Lambda}^{-frac{1}{2}} mathbf{f}_{i n} mathbf{W} label{9}tag{9}$$

using the standard 2d convolution with kernels of shape $$1 times Gamma$$ (where $$Gamma$$ is defined under equation 6 of the paper), and then multiplying it with the normalised adjacency matrix

$$mathbf{Lambda}^{-frac{1}{2}}(mathbf{A}+mathbf{I}) mathbf{Lambda}^{-frac{1}{2}}$$

For the past few days, I was thinking about his claim but I can’t find an answer. Does anyone read this paper and can help me to find it out, please?

## Related Questions

### Is the self-attention matrix softmax output (layer 1) symmetric?

1  Asked on January 5, 2022 by thepacker

### Is there a good website where I can learn about Deep Deterministic Policy Gradient?

1  Asked on January 5, 2022 by huzaifah-shamim

### Why can we perform graph convolution using the standard 2d convolution with $1 times Gamma$ kernels?

0  Asked on January 1, 2022

### Anomaly Detection in distributed system using generated log file

1  Asked on December 30, 2021

### How do big companies, like Facebook, model individuals and their interaction?

1  Asked on December 30, 2021

### How to evaluate the performance of an autoencoder trained on image data?

1  Asked on December 30, 2021 by nim-py

### Is there an optimal way to split the text into small parts when working with co-reference resolution?

0  Asked on December 30, 2021

### Extending patch based image classification into image classification

0  Asked on December 30, 2021

### How to properly optimize shared network between actor and critic?

1  Asked on December 27, 2021 by bestr

### Which is a better form of regularization: lasso (L1) or ridge (L2)?

1  Asked on December 27, 2021 by jaeger6

### What is meant by “arranging the final features of CNN in a grid” and how to do it?

0  Asked on December 27, 2021

### How are training hyperparameters determined for large models?

1  Asked on December 27, 2021 by kao

### How can I have the same input and output shape in an auto-encoder?

2  Asked on December 25, 2021 by vesko-vujovic

### Which neural network should I use to distinguish between different types of defects?

0  Asked on December 25, 2021 by beinando

### Can I think of the graph convolution operation as a regular 2D convolution for images?

0  Asked on December 25, 2021

### How could I use machine learning to detect text and non-text regions in scanned documents?

2  Asked on December 22, 2021

### Using convnet to classify language of text contained in images

1  Asked on December 20, 2021

### Why does my “entropy generation” RNN do so badly?

1  Asked on December 18, 2021

### Continuous state and continuous action Markov decision process time complexity estimate: backward induction VS policy gradient method (RL)

1  Asked on December 16, 2021 by leodongxu

### What is meant by gene, chromosome, population in genetic algorithm in terms of feature selection?

2  Asked on December 16, 2021