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New method fuses graph and text for patent entity alignment

By PulseAugur Editorial · [1 sources] ·

This paper introduces a novel method for aligning entities within science and technology patent knowledge graphs. The proposed approach leverages a graph convolution network combined with the BERT model to fuse structural information from the graph with textual attributes like patent names and descriptions. This multi-information fusion aims to improve the accuracy of entity alignment, outperforming existing methods on benchmark datasets according to Hits@K evaluation metrics. AI

IMPACT This research could improve the organization and retrieval of patent information, potentially aiding innovation and intellectual property management.

RANK_REASON The cluster contains an academic paper detailing a new method for entity alignment in patent data. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New method fuses graph and text for patent entity alignment

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0 / 100
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The cluster contains an academic paper detailing a new method for entity alignment in patent data. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
56 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Runze Fang, Yawen Li, Yingxia Shao, Zeli Guan, Zhe Xue ·

    Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion

    arXiv:2311.00300v2 Announce Type: replace Abstract: The entity alignment of science and technology patents aims to link the equivalent entities in the knowledge graph of different science and technology patent data sources. Most entity alignment methods only use graph neural netw…

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