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Think-on-Graph is a reasoning framework specifically designed to operate on a Knowledge Graph, as it utilizes an LLM agent to perform beam search and path discovery directly on the graph structure [1], [2]. The methodology is defined by its application to knowledge graphs for deep, interpretable reasoning [3], [4].
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Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 1 fact
referenceThink-on-Graph (Sun et al., 2023) treats the LLM as an agent that iteratively executes beam search on a knowledge graph, discovering and evaluating reasoning paths. This agent-based framing reflects a move toward interpretable, step-wise reasoning akin to human problem-solving.
Daily Papers - Hugging Face huggingface.co 1 fact
procedureThe 'Think-on-Graph' (ToG) approach implements the 'LLMotimesKG' paradigm by having an LLM agent iteratively execute beam search on a knowledge graph to discover promising reasoning paths and return likely reasoning results.
Empowering GraphRAG with Knowledge Filtering and Integration arxiv.org 1 fact
referenceSun et al. authored 'Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph', published in The Twelfth International Conference on Learning Representations.
Knowledge Graph Combined with Retrieval-Augmented Generation ... drpress.org 1 fact
referenceMa et al. introduced 'Think-on-graph 2.0', a method for deep and interpretable LLM reasoning using knowledge graph-guided retrieval, in an arXiv preprint in 2024.