Results 141 to 150 of about 7,273,685 (301)

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

, 2018
The most approaches to Knowledge Base Question Answering are based on semantic parsing. In this paper, we address the problem of learning vector representations for complex semantic parses that consist of multiple entities and relations.
Gurevych, Iryna, Sorokin, Daniil
core  

Semantic Network Layering

, 2009
The stack in various forms has been widely used as an architectural template for networking systems. Recently the stack has been subject to criticism for a lack of flexibility. However, when it comes right down to it nobody has offered a truly compelling alternative.
Neufeld, Michael, Partridge, Craig
openaire   +2 more sources

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

Advanced Science, EarlyView.
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley   +1 more source

Community Detection in Semantic Networks: A Multi-View Approach. [PDF]

Entropy (Basel), 2022
Yang H, Liu Q, Zhang J, Ding X, Chen C, Wang L.   +5 more
europepmc   +1 more source

Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors

Advanced Science, EarlyView.
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos, Gustavo Felizardo Santos Sandes, Artur Christian Garcia da Silva, Holli‐Joi Martin, Eugene N. Muratov, Rodolpho de Campos Braga, Bruno Junior Neves   +6 more
wiley   +1 more source

Multimodal AI‐Driven Identification of Dehydrocostus Lactone as a Potent Renal Fibrosis Attenuator Targeting IQGAP1

Advanced Science, EarlyView.
Renal fibrosis, a hallmark of CKD, lacks effective treatments. Herein, we developed a multimodal AI model (TCM‐SPred) to identify anti‐fibrotic agents and found that dehydrocostus lactone (DCL) targets IQGAP1 to inhibit Wnt signaling, blocking the interaction between IQGAP1 and CCT3, demonstrating potent anti‐fibrotic activity in vitro and in vivo ...
Weijiang Lin, Wenzhuo Xu, Kang Liu, Ping Wang, Zhenzhen Zhu, Wenyu Lu, Zhe Zheng, Xiaoqian Peng, Xunkai Yin, Shulan Mei, An Pan, Jian Liu, Lihong Hu   +12 more
wiley   +1 more source

Free Association Database for a 62-Word Dataset Including Emotion and Colour Terms in English, Estonian, French, German, Italian, Lithuanian, and Spanish: Data from 14 Countries

Journal of Open Psychology Data
This article presents a free association database containing responses to 62 stimulus words (including colour terms, emotion words, and common nouns) across seven languages: English, Estonian, French, German, Italian, Lithuanian, and Spanish.
Domicele Jonauskaite, Déborah Epicoco, Maliha Bouayed Meziane, Britt Burton, Violeta Corona, Eduardo Fonseca-Pedrero, Consuelo González-Dávila, Jelena Havelka, Eric Laurent, Bigna Lenggenhager, Tobias Loetscher, Stephanie Lopez Castiñeira, Leila Manni, Philip Mefoh, Daniel Oberfeld, Merle Oguz, Rabia Yağmur Özduran, Corinna Perchtold-Stefan, Patricia Quant, Michael Quiblier, Maja Roch, Sude Sarayköylü, Giulia F. M. Spagnulo, Maël Theubet, Cecilia Toscanelli, Mari Uusküla, Christine Mohr   +26 more
doaj   +1 more source

Multidimensional Latent Semantic Networks for Text Humor Recognition. [PDF]

Sensors (Basel), 2022
Xiong S, Wang R, Huang X, Chen Z.
europepmc   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

The organization of individually mapped structural and functional semantic networks in aging adults. [PDF]

Brain Struct Funct, 2022
Ketchabaw WT, DeMarco AT, Paul S, Dvorak E, van der Stelt C, Turkeltaub PE.   +5 more
europepmc   +1 more source