2篇
您的检索式：作者名="Lusheng YE"
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| 1 | DeepHGNN:A Novel Deep Hypergraph Neural Network显示文摘With the development of deep learning,graph neural networks(GNNs)have yielded substantial results in various application fields.GNNs mainly consider the pair-wise connections and deal with graph-structured data.In many real-world networks,the relations between objects are complex and go beyond pair-wise.Hypergraph is a flexible modeling tool to describe intricate and higher-order correlations.The researchers have been concerned how to develop hypergraph-based neural network model.The existing hypergraph neural networks show better performance in node classification tasks and so on,while they are shallow network because of oversmoothing,over-fitting and gradient vanishment.To tackle these issues,we present a novel deep hypergraph neural network(DeepHGNN).We design DeepHGNN by using the technologies of sampling hyperedge,residual connection and identity mapping,residual connection and identity mapping bring from graph convolutional neural networks.We evaluate DeepHGNN on two visual object datasets.The experiments show the positive effects of DeepHGNN,and it works better in visual object classification tasks. | LIN Jingjing YE Zhonglin ZHAO Haixing FANG Lusheng | 2022 | Chinese Journal of Electronics2022，31，5： | 2 |
| 2 | Analysis on Spatial Pattern of Land Use Based on Fractal Theory:A Case Study of a Southwest Town显示文摘Based on GIS,RS technology and fractal theory,this paper analyzes land use type of a southwest town in 2010. It obtains fractal model,fractal dimension and stability index of land use types,which will provide favorable reference for healthy social and economic development of this town and scientific decision making for rational control of land resource. | Haixia LUO Kai LUO Lusheng YE Wenqing CHEN Zhengshan LI | 2013 | Asian Agricultural Research2013，5，7： | 0 |
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