C.1: JGNN Graph Neural Networks on Native Java: Difference between revisions
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• '''Short Description''': | • '''Short Description''': | ||
JGNN provides GNNs to native Java applications and supports cross-platform machine learning, such as on Android, without specific hardware or firmware. | |||
• '''Reference, URL''': https://www.ai4europe.eu/research/ai-catalog/jgnn | |||
• ''' | • '''Applicable Business Category''': Research (Cloud, Edge and Infrastructure) | ||
• ''' | • '''Application in relevant Projects/Initiatives''': AI4Media | ||
• ''' | • '''Asset Type''': Library | ||
• ''' | • '''AI Breadth''': ML | ||
• ''' | • '''Learning Ability''': Graph Neural Networks | ||
• ''' | • '''Related technologies''':Machine Learning, Edge Computing | ||
• ''' | • '''Applicable Research Area''': Integrative AI | ||
• ''' | • '''Applicable Technical Category''': Knowledge Representation | ||
• ''' | • '''License Information''': Apache License 2.0 (Apache-2.0) | ||
• ''' | • '''Related to circularity and sustainability''': Yes (Cross platform) | ||
• '''Audience''': Developers | |||
Go back to the '''[[AI portfolio of reference implementations]]''' | Go back to the '''[[AI portfolio of reference implementations]]''' | ||
Latest revision as of 10:21, 27 December 2024
• Short Description: JGNN provides GNNs to native Java applications and supports cross-platform machine learning, such as on Android, without specific hardware or firmware.
• Reference, URL: https://www.ai4europe.eu/research/ai-catalog/jgnn
• Applicable Business Category: Research (Cloud, Edge and Infrastructure)
• Application in relevant Projects/Initiatives: AI4Media
• Asset Type: Library
• AI Breadth: ML
• Learning Ability: Graph Neural Networks
• Related technologies:Machine Learning, Edge Computing
• Applicable Research Area: Integrative AI
• Applicable Technical Category: Knowledge Representation
• License Information: Apache License 2.0 (Apache-2.0)
• Related to circularity and sustainability: Yes (Cross platform)
• Audience: Developers
Go back to the AI portfolio of reference implementations