首页|Reports on Intelligent Systems from Guangdong Polytechnical Normal University Pr ovide New Insights (Multi-order Hypergraph Convolutional Networks Integrated Wit h Self-supervised Learning)
Reports on Intelligent Systems from Guangdong Polytechnical Normal University Pr ovide New Insights (Multi-order Hypergraph Convolutional Networks Integrated Wit h Self-supervised Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning - Int elligent Systems is the subject of a report. According to news originating from Guangzhou, People's Republic of China, by NewsRx correspondents, research stated , "Hypergraphs, as a powerful representation of information, effectively and nat urAlly depict complex and non-pair-wise relationships in the real world. Hypergr aph representation learning is useful for exploring complex relationships implic it in hypergraphs." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Guangdong Provincial Key Laboratory Project of Intellectual Property and Big Data, Special Projects for Key Fields in Higher Education of Gu angdong, China, National Natural Science Foundation of Guangdong Province, Key Field R&D Plan Project of Guanzhou, Youth Innovation Project of the Department of Education of Guangdong Province, China.
GuangzhouPeople's Republic of ChinaA siaIntelligent SystemsEmerging TechnologiesMachine LearningSupervised Le arningGuangdong Polytechnical Normal University
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