Results 171 to 180 of about 8,038,825 (297)

Graph Propagation Transformer for Graph Representation Learning [PDF]

This paper presents a novel transformer architecture for graph representation learning. The core insight of our method is to fully consider the information propagation among nodes and edges in a graph when building the attention module in the transformer
Lu, Tong, Cheng, Cheng, Peng, Qiuying, Wang, Tao, Chen, Zhe, Shen, Tianrun, Qi, Yue, Tan, Hao   +7 more
core  

CataCon: a contrastive graph representation learning framework for catalyst prediction. [PDF]

J Cheminform
Shi H, Wang Y, Song S, Li K, Gao W, Liu S, Qiao J, Wei L.   +7 more
europepmc   +1 more source

Review of Inorganic Separator Engineering for Next‐Generation Lithium–Sulfur Batteries: Compromise or Cornerstone?

Advanced Materials, EarlyView.
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin, Tianyi Wang, Xingyu Wang, Kaifu Xu, Yuzhou Wang, Chengyin Wang, Bing Sun, Guoxiu Wang   +7 more
wiley   +1 more source

MSGRL: A Motif-Driven Self-Supervised Graph Representation Learning Framework for Interpretable Molecular Property Prediction. [PDF]

Molecules
Wu Y, Jiang Y, Qi X, Fu H, Tang Q, Wang W, Zeng C, Zhu G.   +7 more
europepmc   +1 more source

Editorial: Graph representation learning in biological network. [PDF]

Front Bioinform, 2023
Roy S, Guzzi PH, Kalita J.
europepmc   +1 more source

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Multilabel prediction of virus target proteins via multimodal graph representation learning. [PDF]

PLoS Comput Biol
Ma K, Liu K, Xin Y, Liu R.
europepmc   +1 more source

Lab‐in‐a‐Tube System Integrating Hierarchically Wrinkled Electrodes and DNAzyme‐Functionalized Beads for Diagnosis of Clostridioides difficile Infection

Advanced Materials, EarlyView.
The point‐of‐care diagnosis of Clostridioides difficile infection remains challenging due to reliance on slow culture and amplification‐based methods. A lab‐in‐a‐tube electrochemical biosensor integrating DNAzymes, antifouling magnetic beads, and a hierarchically structured flow cell enables amplification‐ and culture‐free detection directly in stool ...
Survanshu Saxena, Soyeon Lee, Youngeun Choi, Jonathan L'Heureux‐Hache, Jiaying Liu, Sadman Sakib, Sara M. Imani, Marek Smieja, Yingfu Li, Todd Hoare, Leyla Soleymani   +10 more
wiley   +1 more source

PathTIGR: A pathway topology-informed graph representation learning framework for immunotherapy response prediction. [PDF]

Sci Adv
Li X, He Y, Wu J, Wang Z, Zhao X, Zhang Y, Pan B, Tang Y, Han J, Han J.   +9 more
europepmc   +1 more source

Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells

Advanced Materials Interfaces, EarlyView.
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss, Shiyi Wang, Brian P. Setzler, Yushan Yan, Adam Z. Weber   +4 more
wiley   +1 more source