Výsledky vyhledávání - "Heterogeneous graph autoencoder"

NodeHGAE: Node-oriented heterogeneous graph autoencoder Autor Zhu, Xiangkai, Li, Chao, Yan, Yeyu, Zhao, Zhongying, Duan, Hua, Zeng, Qingtian

“…Heterogeneous graph autoencoder (HGAE), as an unsupervised learning approach, aims to encode nodes and edges of heterogeneous graphs into low-dimensional vector representations, and simultaneously reconstruct the original graph structure…”
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Hgae: Heterogeneous Graph Autoencoder-Based Service Bundle Recommendations for Efficient Mashup Development Autor Sun, Kaipu, Wang, Xuanye, Xi, Meng, Wu, Yangyang, Pan, Xiaohua, Zhang, Jinshan, Li, Ying, Ma, Kun, Yin, Jianwei

“…With the vast range of available services, it has become an important challenge to recommend the optimal service for mashup developer. Recent studies are…”
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Predicting Drug-Target Interactions Via Dual-Stream Graph Neural Network Autor Li, Yuhui, Liang, Wei, Peng, Li, Zhang, Dafang, Yang, Cheng, Li, Kuan-Ching

“… To tackle with above issues, this paper proposed a framework named DSG-DTI. Specifically, DSG-DTI has the heterogeneous graph autoencoder and heterogeneous attention network-based Matrix Completion…”
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Multi-masks and Bi-spaces Reconstruction based Single-Layer Auto-encoder for Heterogeneous Graph Representation Learning Autor Zhang, Pei, Zhou, Lihua, Wang, Lizhen, Chen, Hongmei, Xiao, Qing

“… To address these issues, we propose Multi-masks and Bi-spaces reconstruction based Single-Layer Heterogeneous graph AutoEncoder(MBS-HAE…”
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