Graphs, Hypergraphs, and Inductive Logic Programming

Abstract. There are many connections between graph mining and inductive logic programming (ILP), or more generally relational learning. Up till now these connections have mostly been described or exploited in an informal way. A more careful and formal study of them may lead to new insights in the relationships between the different learning formalisms, and possibly new methods for solving certain problems that rely on translating problems or algorithms from one setting to another. In this paper we initiate an investigation into this.

• Type: Conference
• Year: 2007
• Where: MLG
• Authors: Hendrik Blockeel, Tijn Witsenburg, Joost N. Kok
• Keywords: Different Learning Formalisms, Graph Mining, Inductive Logic Programming, Machine Learning, MLG 2007