Reliable knowledge graph fact prediction via reinforcement learning
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Nov 20, 2023 · We propose a new RL-based approach named EvoPath in this study. EvoPath features a new reward mechanism based on entity heterogeneity.
Nov 20, 2023 · Knowledge graph (KG) fact prediction aims to complete a KG by determining the truthfulness of predicted triples. Reinforcement learning ...
Knowledge graph (KG) fact prediction aims to complete a KG by determining the truthfulness of predicted triples. Reinforcement learning (RL)-based ...
Dec 29, 2023 · Knowledge graph (KG) fact prediction aims to complete a KG by determining the truthfulness of predicted triples. Reinforcement learning (RL)- ...
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Oct 11, 2023 · In this work, we propose an RL-based KG reasoning ap- proach for explainable fact-checking that employs an RL agent to produce explanations in ...
Knowledge graph (KG) fact prediction aims to complete a KG by determining the truthfulness of predicted triples. Reinforcement learning (RL)-based ...
Abstract. We present a family of four novel methods for embedding knowledge graphs into real-valued tensors that capture the ordered relations found in RDF.
Missing: Reliable reinforcement
We demonstrate the efficacy of our models for the task of predicting new facts across eight different knowledge graphs, achieving between 5% and 50% relative ...
Oct 13, 2020 · Google Knowledge Graph uses the relationships between words and concepts to understand the context of a query and to assign specific meaning to ...
Missing: Reliable via
A family of four novel methods for embedding knowledge graphs into real-valued tensors that capture the ordered relations found in RDF that can easily use ...