Identifying the technology convergence using patent text information : a graph convolutional networks (GCN)-based approach
Chen Zhu, Kazuyuki Motohashi
| Year of publication: |
2022
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|---|---|
| Authors: | Zhu, Chen ; Motohashi, Kazuyuki |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 176.2022, p. 1-20
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| Subject: | Artificial intelligence | Distributed ledger technology | Graph convolution networks | Patent analysis | Technology convergence | Patent | Künstliche Intelligenz | Graphentheorie | Graph theory | Technischer Fortschritt | Technological change | Wirtschaftliche Konvergenz | Economic convergence | Blockchain | Innovationsmanagement | Innovation management | Unternehmensnetzwerk | Business network |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2022.121477 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013337401