Identifying the Technology Convergence Using Patent Text Information: A Graph Convolutional Networks (GCN)-Based Approach

Chen Zhu; Kazuyuki Motohashi

doi:10.2139/ssrn.3926168

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JOURNAL ARTICLE

Identifying the Technology Convergence Using Patent Text Information: A Graph Convolutional Networks (GCN)-Based Approach

Chen Zhu Kazuyuki Motohashi

Year: 2021 Journal: SSRN Electronic Journal Publisher: RELX Group (Netherlands)

DOI: 10.2139/ssrn.3926168

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Keywords:

Graph Computer science Convergence (economics) Technological convergence Theoretical computer science Information retrieval Artificial intelligence Telecommunications Economics

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Topics

Intellectual Property and Patents

Social Sciences → Business, Management and Accounting → Management of Technology and Innovation

Innovation Diffusion and Forecasting

Social Sciences → Decision Sciences → Management Science and Operations Research

Innovation Policy and R&D

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Identifying the Technology Convergence Using Patent Text Information: A Graph Convolutional Networks (GCN)-Based Approach

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Citation History

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