首页|Findings in the Area of Computational Intelligence Reported from Yantai Universi ty (Graph Structure Learning With Automatic Search of Hyperparameters Based On G enetic Programming)
Findings in the Area of Computational Intelligence Reported from Yantai Universi ty (Graph Structure Learning With Automatic Search of Hyperparameters Based On G enetic Programming)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g out of Yantai, People’s Republic of China, by NewsRx editors, research stated, “Graph neural networks (GNNs) rely heavily on graph structures and artificial h yperpa-rameters, which may increase computation and affect performance. Most GNNs use original graphs, but the original graph data has problems with noise and in complete information, which easily leads to poor GNN performance.”
YantaiPeople’s Republic of ChinaAsiaComputational IntelligenceEmerging TechnologiesGenetic ProgrammingGeneti csMachine LearningYantai University
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