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Scientific and Technological Resource Sharing Model Based on Few-Shot Relational Learning
2021
IEICE transactions on information and systems
Resource sharing is to ensure required resources available for their demanders. However, due to the lack of proper sharing model, the current sharing rate of the scientific and technological resources is low, impeding technological innovation and value chain development. Here we propose a novel method to share scientific and technological resources by storing resources as nodes and correlations as links to form a complex network. We present a few-shot relational learning model to solve the
doi:10.1587/transinf.2020bdp0021
fatcat:caoeiwdfmjawfb6din5zurhao4