Developed MLN Structure Learning Systems

GSLP

	Generative Structure Learning for MLN based on Graph of Predicates.
	Paper: Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI) 2011.
	Source codes (C++) comming soon for [Download]

DMSP

	Discriminative MLN Structure learning based on Propositionalization.
	Paper: Discriminative Markov Logic Network Structure Learning Based on Propositionalization and χ2-Test. In Proceedings of Advanced Data Mining and Applications (ADMA) 2010.
	Source code (C++) comming soon for [Download]

HDSM

	Heuristic Generative Structure learning for MLNs
	Paper: Heuristic Method for Discriminative Structure Learning of Markov Logic Networks. In Proceedings of The Ninth International Conference on Machine Learning and Applications (ICMLA) 2010.
	Source codes (C++) comming soon for [Download]

HGSM

	Heuristic Generative Structure learning for MLNs.
	Paper: Generative Structure Learning for Markov Logic Networks. In Proceedings of the Fifth Starting AI Researchers' Symposium (STAIRS) 2010.
	Source codes (C++) comming soon for [Download]

Instructions for Running

These systems are implemented over Alchemy. These instructions support to incorporating HGSM, HDSM and DMSP into the alpha version of Alchemy (Oct. 22, 2007) and GSLP into the beta version of Alchemy.

1.	Download and install Alchemy, the alpha version (Oct. 22, 2007) for HGSM, HDSM and DMSP and the beta version for GSLP.
2.	Download our source codes (HGSM, HDSM, DMSP or GSLP), unpack it and copy all source files (excluding the makefile and the readme.txt) to the src/learnstruct folder of the Alchemy source.
3.	Copy the makefile to the src folder of Alchemy.
4.	Type make depend then make hgsm to compile HGSM, make hdsm to compile HDSM, make dmsp to compile DMSP, make gslplc; make gslplw; make gslpprune to compile GSLP.
5.	Read the readme.txt file to see how to use each system to learn a MLN structure.