Results 51 to 60 of about 106,924 (261)

Heterogeneous graph attention network

, 2020
A graph is a data structure which contains connection information in edges and feature information in nodes. Graph neural network applies deep learning to process graph and it becomes more and more popular by its powerful representation ability.
Wang, Zhixing
core  

Text Classification Based on Attention Gated Graph Neural Network [PDF]

, 2022
To address the problem that the existing text classification work usually ignores the semantic interaction between words when generating text representation,this paper proposes a novel text classification model based on attention gated graph neural ...
DENG Zhao-yang, ZHONG Guo-qiang, WANG Dong
core   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

GBTTE: Graph Attention Network Based Bus Travel Time Estimation

, 2023
Real-time bus travel time is crucial for the smart public transportation system and is beneficial for improving user satisfaction for online map services.
Liu, Hao, Dan, Zepeng, Yao, Juntao, Lin, Jinzhu, Rong, Yuecheng, Wu, Zhi, Fang, Yifan, Luo, Wei, Zhang, Chuanming, Zhang, Yan, Liu, Jun, Ma, Jie   +11 more
core   +1 more source

Graph Attention Topic Modeling Network

Proceedings of The Web Conference 2020, 2020
Existing topic modeling approaches possess several issues, including the overfitting issue of Probablistic Latent Semantic Indexing (pLSI), the failure of capturing the rich topical correlations among topics in Latent Dirichlet Allocation (LDA), and high inference complexity.
Liang Yang 0002, Fan Wu, Junhua Gu, Chuan Wang 0002, Xiaochun Cao, Di Jin 0001, Yuanfang Guo   +6 more
openaire   +1 more source

Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma

Molecular Oncology, EarlyView.
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski, Júlia Perera‐Bel, Alejo Rodriguez‐Vida, Nuria Juanpere, Jihyun Lee, Daniel E. Michaud, Jennifer L. Guerriero, Kent W. Mouw, Aristotelis Bamias, Filipe L. F. Carvalho, Joaquim Bellmunt   +10 more
wiley   +1 more source

Contextualized graph attention network for recommendation with item knowledge graph

, 2021
Graph neural networks (GNN) have recently been applied to exploit knowledge graph (KG) for recommendation. Existing GNN-based methods explicitly model the dependency between an entity and its local graph context in KG (i.e., the set of its first-order ...
Wu, Min, Xu, Yonghui, Miao, Chunyan, Yang, Susen, Liu, Yong, Zhang, Juyong   +5 more
core   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

LSTGINet: Local Attention Spatio-Temporal Graph Inference Network for Age Prediction

There is a close correlation between brain aging and age. However, traditional neural networks cannot fully capture the potential correlation between age and brain aging due to the limited receptive field.
Peng Wang, Xin Wen, Yanrong Hao, Yi Lei, Ruochen Cao, Rui Cao, Yuanyuan Guo, Chengxin Gao   +7 more
core   +1 more source