Results 131 to 140 of about 177,158 (279)

Assessing the effects of hyperparameters on knowledge graph embedding quality. [PDF]

J Big Data, 2023
Lloyd O, Liu Y, R Gaunt T.
europepmc   +1 more source

Ovarian Matrisome Dynamics and αvβ3‐Mediated Regulation in Early Follicular Development

Advanced Science, EarlyView.
The matrisome undergoes dynamic remodeling during early follicular development. Integrin αvβ3 mediates matrisome signals, regulating primordial follicle activation/atresia and secondary follicle growth via Hippo/mTOR pathways, with conserved roles in human ovaries, offering therapeutic targets for ovarian disorders.
Tong Wu, Yanzhi Feng, Qingqing Zhu, Ting Jiang, Yueyue Gao, Kebing Nie, Xianan Tang, Ying Chen, Dianxing Hu, Xudan Yang, Shixuan Wang, Meng Wu, Jinjin Zhang   +12 more
wiley   +1 more source

Engineered Living Systems With Self‐Organizing Neural Networks: From Anatomy to Behavior and Gene Expression

Advanced Science, EarlyView.
Ectodermal tissue excised from Xenopus embryos self‐organizes into a three‐dimensional mucociliary organoid. Here, we generate a neural variant, termed neurobot, by implanting neural precursor cells. Neurobots develop mature neurons, adopt distinct morphologies, exhibit more complex motility, and respond differentially to neuroactive compounds. Imaging
Haleh Fotowat, Laurie O'Neill, Léo Pio‐Lopez, Megan M. Sperry, Patrick Erickson, Tiffany Lin, Michael Levin   +6 more
wiley   +1 more source

Location-Sensitive Embedding for Knowledge Graph Embedding [PDF]

Journal of Computer-Aided Design & Computer Graphics, 2021
Siheng Zhang, Wensheng Zhang
openaire   +1 more source

Knowledge Graph Completion Using Embeddings

, 2023
These slides summarize the current research conducted on Knowledge Graph Completion using Embeddings which was presented at Knowledge Graph Conference 2023.
openaire   +1 more source

Knowledge Graph Embedding for Hierarchical Entities Based on Auto-Embedding Size

Mathematics
Knowledge graph embedding represents entities and relations as low-dimensional continuous vectors. Recently, researchers have attempted to leverage the potential semantic connections between entities with hierarchical relationships in the knowledge graph.
Pengfei Zhang, Xiaoxue Zhang, Yang Fang, Jinzhi Liao, Wubin Ma, Zhen Tan, Weidong Xiao   +6 more
doaj   +1 more source

Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding. [PDF]

Entropy (Basel), 2023
Guo Q, Liao Y, Li Z, Lin H, Liang S.
europepmc   +1 more source

A Novel Function of Nonadecanoic Acid in Regulating Glucose Homeostasis

Advanced Science, EarlyView.
This study identifies the odd‐chain fatty acid C19:0 as an endogenous ligand of GPR120 that promotes glucose homeostasis via Gαq signaling. In obesity, elevated palmitic acid suppresses endogenous C19:0 production through a miRNA–PPARα–HACL1 pathway, offering a promising direction for understanding the role of OCFAs in human health.
Yanting Hou, Yinghua Ma, Qin Liu, Dingling Ma, Yuxin Tong, Lili Xu, Xiaolong Chu, Jingzhou Wang, Maodi Liang, Mengyuan Zhao, Huizi Zhang, Yurui Su, Jianxin Xie, Cuizhe Wang, Jun Zhang   +14 more
wiley   +1 more source

Advancing drug-target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining. [PDF]

BMC Bioinformatics, 2023
Djeddi WE, Hermi K, Ben Yahia S, Diallo G.   +3 more
europepmc   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source