Core Concepts
Chain-like rules are refined into tree-like rules on knowledge graphs to enhance reasoning abilities and accuracy.
Stats
Chain-like rules usually fire on incorrect grounding values, leading to inaccurate predictions.
Tree-like rules possess higher quality and produce more accurate predictions.
The proposed framework refines chain-like rules into tree-like rules effectively.
Quotes
"Tree-like rules consistently outperform chain-like rules on link prediction tasks."
"The proposed framework easily adapts to other chain-like rule induction methods."