User brazofuerte

32 votes

Accepted

What is the difference between latent and embedding spaces?

answered Apr 26, 2020 at 9:42

15 votes

Accepted

What is non-Euclidean data?

answered Apr 25, 2020 at 18:43

5 votes

What is feature embedding in the context of convolutional neural networks?

answered Apr 27, 2020 at 18:58

3 votes

Is ReLU a non-linear activation function?

answered May 26, 2020 at 16:15

2 votes

In what ways is the term "topology" applied to Artificial Intelligence?

answered May 25, 2020 at 9:53

2 votes

What are examples of approaches to dimensionality reduction of feature vectors?

answered Apr 27, 2020 at 21:43

2 votes

Accepted

Is there an open-source implementation for graph convolution networks for weighted graphs?

answered Apr 25, 2020 at 20:00

2 votes

What is the difference between a convolutional neural network and a regular neural network?

answered Apr 25, 2020 at 22:13

2 votes

What is a graph neural network?

answered Apr 25, 2020 at 18:11

2 votes

Are there neural networks that accept graphs or trees as inputs?

answered Apr 25, 2020 at 18:19

2 votes

What is different in each head of a multi-head attention mechanism?

answered Mar 16, 2021 at 9:34

2 votes

Why are "Transformers" called this way?

answered Mar 16, 2021 at 12:58

1 vote

What do you call a machine learning system that keeps on learning?

answered Oct 30, 2020 at 11:09

1 vote

A* is similar to Dijkstra with reduced cost

answered Apr 24, 2020 at 13:05

1 vote

What are the purposes of autoencoders?

answered Apr 24, 2020 at 16:11

1 vote

What is the difference between graph semi-supervised learning and normal semi-supervised learning?

answered Apr 26, 2020 at 8:58

1 vote

What are the exact meaning of "lower-order structure" and "higher-order structure" in this paper?

answered Apr 25, 2020 at 19:20

1 vote

Are there any public real-life code examples of ML applications in Python?

answered May 25, 2020 at 9:42

0 votes

What is the proof that the branch and bound algorithm always finds optimal path in a graph?

answered May 26, 2020 at 15:51

0 votes

How to represent and work with the feature matrix for graph convolutional network (GCN) if the number of features for each node is different?

answered May 26, 2020 at 22:25

Stack Exchange Network

20 Answers

What is the difference between latent and embedding spaces?

What is non-Euclidean data?

What is feature embedding in the context of convolutional neural networks?

Is ReLU a non-linear activation function?

In what ways is the term "topology" applied to Artificial Intelligence?

What are examples of approaches to dimensionality reduction of feature vectors?

Is there an open-source implementation for graph convolution networks for weighted graphs?

What is the difference between a convolutional neural network and a regular neural network?

What is a graph neural network?

Are there neural networks that accept graphs or trees as inputs?

What is different in each head of a multi-head attention mechanism?

Why are "Transformers" called this way?

What do you call a machine learning system that keeps on learning?

A* is similar to Dijkstra with reduced cost

What are the purposes of autoencoders?

What is the difference between graph semi-supervised learning and normal semi-supervised learning?

What are the exact meaning of "lower-order structure" and "higher-order structure" in this paper?

Are there any public real-life code examples of ML applications in Python?

What is the proof that the branch and bound algorithm always finds optimal path in a graph?

How to represent and work with the feature matrix for graph convolutional network (GCN) if the number of features for each node is different?