KGFMs can predict links using observed half-links, with performance varying across four scenarios of half-link visibility in inference graphs.
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
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The paper formalizes query answering with soft constraints on knowledge graphs and introduces two lightweight methods (parameter tuning or small neural network) to incorporate them while preserving original rankings.
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Half a Link can Be Enough to Predict a Whole Link: Understanding Generalization in Knowledge Graph Foundation Models
KGFMs can predict links using observed half-links, with performance varying across four scenarios of half-link visibility in inference graphs.
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Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
The paper formalizes query answering with soft constraints on knowledge graphs and introduces two lightweight methods (parameter tuning or small neural network) to incorporate them while preserving original rankings.