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related 1.00 — strongly supporting 1 fact
The concepts are related because the Multi-Hop Pointer-Generator Model utilizes attention mechanisms to extract information from a knowledge graph to answer multi-hop questions, as described in [1].
Facts (1)
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Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com 1 fact
claimBauer et al. (2018) proposed the Multi-Hop Pointer-Generator Model (MHPGM) to address multi-hop questions by selecting relation edges in a knowledge graph related to the questions and injecting attention to extract coherent answers.