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- ROG type Workflow assertion.
- ROG type Workflow assertion.
- ROG label "ROG (Reasoning Over knowledge Graphs with large language models)" assertion.
- ROG label "ROG" assertion.
- ROG comment "ROG is a framework designed to improve complex logical reasoning over knowledge graphs using LLMs. It achieves this by decomposing FOL queries, retrieving query-relevant subgraphs, and employing LLM-based chain-of-thought reasoning to answer these queries step-by-step. The method directly enhances a KG task (answering complex logical queries) by leveraging LLM capabilities." assertion.
- ROG comment "ROG is a retrieval-augmented framework that combines query-aware neighborhood retrieval from Knowledge Graphs with Large Language Model chain-of-thought reasoning to answer complex First-Order Logic queries. It explicitly decomposes multi-operator queries, grounds each step in compact, retrieved KG evidence, and caches intermediate answer sets. This approach treats the LLM as an agent interacting with the KG to conduct complex, multi-step logical reasoning, thus synergizing both components for enhanced reasoning capabilities." assertion.
- ROG subject LLMAugmentedKGQuestionAnswering assertion.
- ROG subject SynergizedReasoning assertion.
- ROG hasTopCategory LLMAugmentedKG assertion.
- ROG hasTopCategory SynergizedLLMKG assertion.