Sökresultat - "graph neural networks"

Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0.

Zhang, Chao^1,2 (AUTHOR), Jing, Yanzhen² (AUTHOR), Zhou, Guanghui^1,2 (AUTHOR) ghzhou@mail.xjtu.edu.cn, Yan, Hairui² (AUTHOR), Chang, Fengtian³ (AUTHOR)

A configuration optimization approach for reconfigurable manufacturing system based on column-generation combined with graph neural network.

Cui, Feng¹ (AUTHOR), Jiang, Zhibin^1,2,3 (AUTHOR), Zhou, Xin¹ (AUTHOR), Zheng, Junli^2,3 (AUTHOR), Geng, Na^2,3 (AUTHOR) gengna@sjtu.edu.cn

Industrial internet platform-driven decentralised multi-level synchronised reconfiguration of assembly supply chains.

Huang, Hai-nan¹ (AUTHOR), Qu, Ting¹ (AUTHOR) quting@jnu.edu.cn, Qiu, Xiao-hui¹ (AUTHOR), Ma, Lin^1,2 (AUTHOR), Nie, Duxian³ (AUTHOR), Li, Congdong¹ (AUTHOR), Huang, George Q.^1,2,4 (AUTHOR)

Modeling and Interpreting the Propagation Influence of Neighbor Information in Time-Variant Networks with Exemplification by Financial Risk Prediction.

Wang, Jianfei¹ (AUTHOR) wangjianfei9@126.com, Zhou, Lina² (AUTHOR) lzhou8@charlotte.edu, Jiang, Cuiqing^1,3 (AUTHOR) jiangcuiq2017@163.com, Wang, Zhao^1,4 (AUTHOR) xcwangzhao@163.com

Generative and contrastive graph representation learning with message passing.

Tang Y; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310000, Zhejiang, China. Electronic address: ytang@zjut.edu.cn., Yang Y; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310000, Zhejiang, China. Electronic address: 201806061824@zjut.edu.cn., Sun G; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310000, Zhejiang, China. Electronic address: guodao@zjut.edu.cn.

Journal Article , 2025

Using graph neural network to conduct supplier recommendation based on large-scale supply chain.

Tu, Yuchun¹ (AUTHOR), Li, Wenxin¹ (AUTHOR), Song, Xiao¹ (AUTHOR), Gong, Kaiqi¹ (AUTHOR) ZB2039102@buaa.edu.cn, Liu, Lu² (AUTHOR), Qin, Yunhao¹ (AUTHOR), Liu, Songsong¹ (AUTHOR), Liu, Ming¹ (AUTHOR)

Graph neural networks for single-cell omics data: a review of approaches and applications.

Li S; School of Mathematical Sciences and The Key Laboratory of Pure Mathematics and Combinatorics, Ministry of Education (LPMC), Nankai University, No. 94 Weijin Road, Nankai District, Tianjin 300071, China., Hua H; School of Mathematical Sciences and The Key Laboratory of Pure Mathematics and Combinatorics, Ministry of Education (LPMC), Nankai University, No. 94 Weijin Road, Nankai District, Tianjin 300071, China., Chen S; School of Mathematical Sciences and The Key Laboratory of Pure Mathematics and Combinatorics, Ministry of Education (LPMC), Nankai University, No. 94 Weijin Road, Nankai District, Tianjin 300071, China.

Journal Article; Review; Systematic Review , 2025

Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network.

Yin G; School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China., Yuan J; Department of Radiology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China., Chen Y; School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China., Guo G; Institute of Big Data Technology Analysis and Application, Taiyuan Normal University, Jinzhong, 030619, China., Shi D; School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China., Wang L; School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China., Zhao Z; School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai, 519000, China., Zhao Y; Psychiatry Research Center, Beijing Huilongguan Hospital, Beijing, 100096, China., Zhang M; School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China., Dong Y; School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China., Wang B; College of Computer Science and Technology, Taiyuan University of Technology, Jinzhong, 030600, China. wangbin01@tyut.edu.cn., Tan S; Psychiatry Research Center, Beijing Huilongguan Hospital, Beijing, 100096, China. shupingtan@126.com.

Journal Article; Research Support, Non-U.S. Gov't , 2025

Towards knowledge graph reasoning for supply chain risk management using graph neural networks.

Kosasih, Edward Elson¹ (AUTHOR) eek31@cam.ac.uk, Margaroli, Fabrizio² (AUTHOR), Gelli, Simone² (AUTHOR), Aziz, Ajmal¹ (AUTHOR), Wildgoose, Nick³ (AUTHOR), Brintrup, Alexandra¹ (AUTHOR)

Deep learning and sequence mining for manufacturing process and sequence selection.

Zhao, Changxuan¹ (AUTHOR) czhao33@gatech.edu, Dinar, Mahmoud² (AUTHOR), Melkote, Shreyes N.¹ (AUTHOR)

Spatially Informed Graph Structure Learning Extracts Insights from Spatial Transcriptomics.

Nie W; Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China., Yu Y; Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China., Wang X; Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China.; City University of Hong Kong (Dongguan), Dongguan, 523000, China., Wang R; Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China., Li SC; Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China.

Journal Article , 2024

Reduce-then-Optimize for the Fixed-Charge Transportation Problem.

Spieckermann, Caroline caroline.spieckermann@tum.de, Minner, Stefan stefan.minner@tum.de, Schiffer, Maximilian schiffer@tum.de

DGCL: dual-graph neural networks contrastive learning for molecular property prediction.

Jiang X; School of Computer Science and Engineering, Sun Yat-sen University, Waihuan East Street, Guangzhou 510006, China., Tan L; School of Computer Science and Engineering, Sun Yat-sen University, Waihuan East Street, Guangzhou 510006, China., Zou Q; School of Computer Science and Engineering, Sun Yat-sen University, Waihuan East Street, Guangzhou 510006, China.

Journal Article , 2024

Enhancing atom mapping with multitask learning and symmetry-aware deep graph matching.

Astero, Maryam¹ (AUTHOR) maryam.astero@aalto.fi, Rousu, Juho¹ (AUTHOR) juho.rousu@aalto.fi

GDFGAT: Graph attention network based on feature difference weight assignment for telecom fraud detection.

Tong, An¹ (AUTHOR), Chen, Bochao¹ (AUTHOR), Wang, Zhe¹ (AUTHOR), Gao, Jiawei¹ (AUTHOR), Lam, Chi Kin¹ (AUTHOR) cklamsta@mpu.edu.mo

scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

Wang, Shuo^1,2 (AUTHOR) wang_shuo20@mails.jlu.edu.cn, Liu, Yuanning^1,2 (AUTHOR) liuyn@jlu.edu.cn, Zhang, Hao^1,2 (AUTHOR) zhangh@jlu.edu.cn, Liu, Zhen³ (AUTHOR) liu_zhen@nias.ac.jp

T-RippleGNN: Predicting traffic flow through ripple propagation with attentive graph neural networks.

Ji, Anning¹ (AUTHOR), Ma, Xintao² (AUTHOR) 119074@jlufe.edu.cn

GNN-FTuckER: A novel link prediction model for identifying suitable populations for tea varieties.

Li, Jun^1,2,3 (AUTHOR), Yang, Bing^1,2 (AUTHOR), Liu, Jiaxin¹ (AUTHOR), Wang, Xu¹ (AUTHOR), Wu, Zhongyuan¹ (AUTHOR), Huang, Qiang¹ (AUTHOR) huangqiang@sicau.edu.cn, He, Peng⁴ (AUTHOR)

Enhancing molecular property prediction with quantized GNN models.

Rasool, Areen¹ (AUTHOR), Ul Rahman, Jamshaid¹ (AUTHOR), Uwitije, Rongin² (AUTHOR) ruwitije@gmail.com

Benchmarking molecular conformer augmentation with context-enriched training: graph-based transformer versus GNN models.

Valsecchi, Cecile¹ (AUTHOR) cvalsecc@its.jnj.com, Arjona-Medina, Jose A.² (AUTHOR), Dyubankova, Natalia³ (AUTHOR) ndyubank@its.jnj.com, Nugmanov, Ramil³ (AUTHOR) rnugmano@its.jnj.com