Výsledky vyhledávání - "Variational graph autoencoder"

Cross-domain recommendation via knowledge distillation Autor Li, Xiuze, Huang, Zhenhua, Wu, Zhengyang, Wang, Changdong, Chen, Yunwen

“…Recommendation systems frequently suffer from data sparsity, resulting in less-than-ideal recommendations. A prominent solution to this problem is Cross-Domain…”
Získat plný text

Enhancing effective connection with link prediction for session-based recommendation Autor Wang, Hui, You, Junjie, Yi, Jianbing, Liu, Junyan, Huang, Runjie

“…The core objective of session-based recommendation (SBR) is to precisely capture user interest preferences from massive candidate items by modeling short-term…”
Získat plný text

Clustering Diffusion Model with Frequency-Signal Modulation for Variational Graph Autoencoders Autor Cheng, Junwei, Liang, Ke, Feng, Pengxing, Liu, Weixiong, Tang, Yong, He, Chaobo

“…Variational autoencoders (VAEs) have been widely used for node clustering, with existing methods mainly focusing on enhancing the expressiveness of their…”
Získat plný text

Variational graph autoencoder-driven balancing strategy for multimodal multi-objective optimization Autor Yang, Lei, Zhang, Erlei, Dang, Qianlong

“…Multimodal multi-objective optimization aims to balance the diversity and the convergence to obtain multiple complete and uniform Pareto optimal solution sets…”
Získat plný text

Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance Autor Zhu, Huan, Hao, Hongxia, Yu, Liang

“…Background Enormous clinical and biomedical researches have demonstrated that microbes are crucial to human health. Identifying associations between microbes…”
Získat plný text

LDA-VGHB: identifying potential lncRNA–disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine Autor Peng, Lihong, Huang, Liangliang, Su, Qiongli, Tian, Geng, Chen, Min, Han, Guosheng

“…Long noncoding RNAs (lncRNAs) participate in various biological processes and have close linkages with diseases. In vivo and in vitro experiments have…”
Získat plný text

Grade: Generative graph contrastive learning for multimodal recommendation Autor Ping, Yu-Chao, Wang, Shu-Qin, Yang, Zi-Yi, Dong, Yong-Quan, Hu, Meng-Xiang, Zhang, Pei-Lin

“…Multimodal recommender systems based on graph convolutional networks have made significant progress by integrating multiple modal data for item recommendation…”
Získat plný text

Disentangled-feature and composite-prior VAE on social recommendation for new users Autor Li, Nuo, Guo, Bin, Liu, Yan, Yu, Zhiwen

“…Social recommendation has been an effective approach to solve the new user recommendation problem based on user-item interactions and user-user social…”
Získat plný text

Dual stream fusion link prediction for sparse graph based on variational graph autoencoder and pairwise learning Autor Li, Xun, Cai, Hongyun, Feng, Chuan, Zhao, Ao

“…Recently, link prediction methods based graph neural networks have garnered significant attention and achieved great success on large datasets. However,…”
Získat plný text

Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering Autor Zhu, Pengfei, Li, Jialu, Wang, Yu, Xiao, Bin, Zhao, Shuai, Hu, Qinghua

“…Attributed graph clustering aims to partition nodes of a graph structure into different groups. Recent works usually use variational graph autoencoder (VGAE)…”
Získat plný text

De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc Autor Li, Runze, Yang, Xuerui

“…Based on a deep generative model of variational graph autoencoder (VGAE), we develop a new method, DeepLinc (deep learning framework for Landscapes of…”
Získat plný text

Unveiling community structures in static networks through graph variational Bayes with evolution information Autor Cheng, Junwei, He, Chaobo, Han, Kunlin, Chen, Gangbin, Liang, Wanying, Tang, Yong

“…With the rapid development of graph variational Bayes theory, some representative community detection methods have been proposed. Although these methods are…”
Získat plný text

Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization Autor Ding, Yulian, Lei, Xiujuan, Liao, Bo, Wu, Fang-Xiang

“…MicroRNAs (miRNAs) have been proved to play critical roles in diverse biological processes, including the human disease development process. Exploring the…”
Získat plný text

Identification of microbe–disease signed associations via multi-scale variational graph autoencoder based on signed message propagation Autor Zhu, Huan, Hao, Hongxia, Yu, Liang

“…Background Plenty of clinical and biomedical research has unequivocally highlighted the tremendous significance of the human microbiome in relation to human…”
Získat plný text

Deep graph embedding learning based on multi-variational graph autoencoders for POI recommendation Autor Gong, Weihua, Shen, Genhang, Zhao, Anlun, Yang, Lianghuai, Cheng, Zhen

“…Recently, point-of-interest (POI) recommendation has become a popular research hotspot in heterogeneous location-based social network (LBSN). One major…”
Získat plný text

Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines Autor Wang, Zhina, Chen, Yangyuan, Ma, Hongming, Gao, Hong, Zhu, Yangbin, Wang, Hongwu, Zhang, Nan

“…Existing studies indicate that dysregulation or abnormal expression of small nucleolar RNA (snoRNA) is closely associated with various diseases, including lung…”
Získat plný text

Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics Autor Lei, Lixin, Han, Kaitai, Wang, Zijun, Shi, Chaojing, Wang, Zhenghui, Dai, Ruoyan, Zhang, Zhiwei, Wang, Mengqiu, Guo, Qianjin

“…The latest breakthroughs in spatially resolved transcriptomics technology offer comprehensive opportunities to delve into gene expression patterns within the…”
Získat plný text

Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder Autor Luo, Xin, Wang, Liwei, Hu, Pengwei, Hu, Lun

“…Protein-protein interactions (PPIs) play a critical role in the proteomics study, and a variety of computational algorithms have been developed to predict…”
Získat plný text

GraphCVAE: Uncovering cell heterogeneity and therapeutic target discovery through residual and contrastive learning Autor Zhang, Zhiwei, Wang, Mengqiu, Dai, Ruoyan, Wang, Zhenghui, Lei, Lixin, Zhao, Xudong, Han, Kaitai, Shi, Chaojing, Guo, Qianjin

“…Advancements in Spatial Transcriptomics (ST) technologies in recent years have transformed the analysis of tissue structure and function within spatial…”
Získat plný text

A Variational Graph Autoencoder Aided Canonical Correlation Analysis-Based Online Abnormal Patterns Detection Method for Buildings HVAC Systems Autor Pan, Xiaogang, Deng, Qiao, Jiao, Yuanyuan, Chen, Zhiwen

“…Heating, Ventilation, and Air Conditioning (HVAC) systems have become essential components of contemporary life, extensively employed in commercial and…”
Získat plný text