# 1. Installing Maven & Pandas First, please install Java (JDK11) and Python 3 if they are not already. Next, make sure that Maven (for importing JGraphT) and Pandas(for data analysis) are installed. To install Maven on Ubuntu, type the following commands on terminal: sudo apt-get update sudo apt-get install maven For Pandas, type the following: pip3 install pandas ( sudo apt-get install python3-pip if pip is not installed already) # 2. Compilation Type the following to compile this project: mvn compile # 3. Running the code Below is the command for running tests for SNAP(DIMACS) and grid data. java -Xms24G -Xmx48G -Xmn36G -Xss1G -cp $CLASSPATHS shell.TestSNAP (the filename of data; just the name and not the path) (# of tests) (randomization seed) java -Xms32G -Xmx64G -Xmn48G -Xss1G -cp $CLASSPATHS shell.TestGrid (Maximum dimension) (dimension increment) [List of the values for k, space-separated] You may change the randomization seed (vertex selection) to assess reproducibility. (In our experiment, the seed was set to 2021.) For the data, check "src/SNAP(or DIMACS)". Output "test_result.csv" will be saved on "target" directory. Check if 'CLASSPATHS' is set properly. Please refer to " sample.sh " for examples & further details. #4. Obtaining average processing time and diversity First, move to the target directory. Then run get_averages.py python3 get_averages (.csv file name) [list of the values for k, space-separated. Optional parameter.]
Diverse graph algorithms implemented using JGraphT library.
Overview
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