neural-logic-machines
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About the 1-outdegree rules testd in dILP
Hi, I'm trying to reproduce your evaluation for dILP in supervised tasks. But I'm stucking in designing the rules for task 1-outdegree for dILP.
- For 1-outdegree, the rules can be:
But how should we express it in dILP? which auxiliary predicates should we use to express the meaning: for all nodes c, which is unequal tob, and has no edge with nodea?
I'll appreciate it if you can give me some suggestions!