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Advanced Colour Passing

This repository contains the source code of the advanced colour passing algorithm that has been presented in the paper "Colour Passing Revisited: Lifted Model Construction with Commutative Factors" by Malte Luttermann, Tanya Braun, Ralf Möller, and Marcel Gehrke (AAAI 2024).

Our implementation uses the Julia programming language.

Computing Infrastructure and Required Software Packages

All experiments were conducted using Julia version 1.8.1 together with the following packages:

  • Combinatorics v1.0.2
  • Graphs v1.8.0
  • Multisets v0.4.4
  • StatsBase v0.34.0

Moreover, we use openjdk version 11.0.20 to run the (lifted) inference algorithms, which are integrated via instances/ljt-v1.0-jar-with-dependencies.jar.

Instance Generation

First, the input instances must be generated. To do so, run julia instance_generator.jl all in the src/ directory. The input instances are then written to instances/input/intra (these are the instances for experiments regarding symmetries within factors) and to instances/input/inter (these are the instances for experiments regarding symmetries between factors having permuted argument lists).

Running the Experiments

After the instances have been generated, the experiments can be started by running julia run_eval.jl all in the src/ directory. The (lifted) inference algorithms are then directly executed by the Julia script. All results are written into the results/ directory.

To create the plots, run julia prepare_plot.jl and julia prepare_offline_plot in the results/ directory to combine the obtained run times into averages and afterwards execute the R scripts plot.r and plot-offline.r (also in the results/ directory). The R script will then create a bunch of .pdf files in the results/ directory containing the plots of the experiments.