network-visualization | The network visualization found on linkedjazz.org | Data Visualization library

I'm trying to visualize references from documents. For this, I have Elements.csv, which looks like this:

Feature visualizing in tensor flow or keras is easy and can be found here. https://machinelearningmastery.com/how-to-visualize-filters-and-feature-maps-in-convolutional-neural-networks/ or Convolutional Neural Network visualization - weights or activations?

how to do this in pytorch?

I am using PyTorch with pretrained resnet18 model. All i need to input the image and get activation for specific layer(e.g. Layer2.0.conv2). Layer2.0.conv2 is specified in the pretrained model.

In simple words; how to convert link one code to PyTorch? how to get the specific layers in resnet18 PyTorch and how to get the activation for input image. I tried this in tensorflow and it worked but not PyTorch.

What would be the best way to integrate Shiny brushing option with igraph library? Now, I know that usage of brushedPoints works best with ggplot2 but is there a way to be used with igraph? Is there a way to transforme network into ggplot2 object so that panelvar1 and panelvar=NONE can be used?

I have created Shiny application to visualize network. Sorry for the slightly bigger data frames (they are from https://kateto.net/network-visualization tutorial). Please create data frames first, because Shiny app is dependent upon them. App includes brushing option.

I am trying to draw an interactive graph for a network using the threejs package. However, when I try to convert an igraph object to a threejs object, it gives the following error:

If have a simple example (for data see below) which I can visualize as follows:

[![network][1]][1]

My problem is, that I would like to use popups to display further information (which does not fit in the graph). The question is: How can I do this? I found many stuff but I was not able to make the example work, which might be caused, that I never programmed in Java. I should also say, that I don't need fancy/complicated 3D stuff. Just a popup would do the job!

Any help is highly appreciated!

Links:

• presentation: I cannot reproduce the example and I think that I don't need that much.
• tutorial chapter 7.1: I cannot reproduce the example

Here is the data