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To organize research articles that pushes the boundary ofmachine learning and (graph) neural networks for simulation with the introduction of novel approaches, algorithms, or theoretical insights.

> pip install -r requirements.txt> make run

When the code is ready to be deployed, runmake freeze to get a static version of the website in thebuild folder.

• Define two command-line variablesGH_TOKEN andGH_REF.GH_TOKEN is your Github personal access token, and will look likeusername:token.GH_REF is the location of this repo, e.g.,$> export GH_REF=github.com/brownvc/neural-fields-review.

• DO NOT addGH_TOKEN to the Makefile—this is your personal access token and should be kept private. Hence, declare a temporary command line variable usingexport.

• Commit any changes. Any uncommited changes will be OVERWRITTEN!

• Executemake deploy.

• That's it.

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Therepo contains:

1. Datastoresitedata/

Collection of CSV files representing the papers, speakers, workshops, and other important information for the conference.

2. Routingmain.py

One file flask-server handles simple data preprocessing and site navigation.

3. Templatestemplates/

Contains all the pages for the site. Seebase.html for the master page andcomponents.html for core components.

4. Frontendstatic/

Contains frontend components like the default css, images, and javascript libs.

5. Scriptsscripts/

• Keyword Statistics: The keywords are generated by a JS script (paper_vis_statistics.js line 13-58) running on the front end every time this page is loaded. So yes they will change correspondingly when papers' data is updated.