Yu-Wei Chang

Hi Jo-Hsin,

Many thanks! Please don’t hesitate to reach out if you have any questions or need assistance.

Hi Jo-Hsin,

Thank you for your feedback in suing BRAPH 2.

Absolutely, it is possible to extract the learned parameters from a trained neural network model.

Let me to guide you through the process using the “example_NN_CON_WU_Classification_AdjacencyMatrix.m” script as an illustration. After line 69, kindly integrate the following code…[Read more]

Thank you for choosing BRAPH 2. I’m here to help you with visualizing matrices at different densities using the GUI. Here are the steps:

1. Right-click on the graph measure panel and a list will pop out. You can refer to the following screenshot.
   http://braph.org/wp-content/uploads/2023/07/plot_graph_forum_answer-2.png
2. Click on “Plot Graph” in the…

[Read more]

Hi Sai,

The reference manual for braph2 is already included automatically in the software. If you want to know the properties (e.g., P for CompareEnsemble or P1, P2, DIFF for ComparisonEnsemble), you can simply type the following commands in the MATLAB command window:
help CompareEnsemble
and
help ComparisonEnsemble

These commands will show you…[Read more]

Hi,

Nice, thank you!

Best,
Yu-Wei

Hi,

Thanks for the further information.
Yes, based on your feedback, it sounds reasonable since, if I understand you correctly, you calculated all the available measures for all 800 subjects.

Should you have any questions, please feel free to write to us.

Best, Yu-Wei

Hi,

Thanks for the feedback.
May you provide further information: what is the size of the adjacency matrix in your case? Additionally, I wanted to ask two things: (1) how long does it take to run the modified example file, example_FUN_WU.m, on your computer? and (2) have you installed the parallel computing toolbox?

For reference, on my computer…[Read more]

Hi,

Thanks for bringing this to our attention. Please click on the “X” button in the top-right corner of the pop-up warning window, as shown in the attached figure, to close it. This will allow the program to launch the landing GUI of BRAPH2. Let me know if you need any further…[Read more]

Hi Sai Prasanna,

Thanks for the follow-up feedback.
I would like to provide further information based on example_FUN_WU.m about the following
(1) Get individual graph metrics/graph measures.
(2) Get individual correlation matrices/adjacency matrices.

Kindly Follow the steps below:

Step 1: Copy and paste the following codes at the end of example_…[Read more]

Dear Sang-Won Yoo,
Thank you for your interest in using BRAPH2!
At the moment, please download BRAPH2 via Github, and follow the installation to install BRAPH2.
We will have an alpha version of BRAPH2 on the website soon.

If you have any questions regarding the installation, please do not hesitate to contact me.

Best,
Yu-Wei

Hi Shrikanth,

I hope the emails help a bit 🙂
If applicable, please follow us @braph2software on twitter and cite us (Braph & Braph2 GitHub)

Best,
Yu-Wei

Hi mav,

Thank you for your interest!
Yes, as long as your EEG data can be prepared with the file format in line with the ones in braph2 (e.g. xls, txt), braph2 can perform deep learning analysis in that regard. That also applies to multiplex analysis, one of our latest features with braph2.

About the release of braph2, it will be at the…[Read more]