Results 101 to 110 of about 8,038,825 (297)
Graph Condensation for Inductive Node Representation Learning
Graph neural networks (GNNs) encounter significant computational challenges when handling large-scale graphs, which severely restricts their efficacy across diverse applications.
Gao, Xinyi +6 more
core +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
ISPRS International Journal of Geo-InformationBuilding community discovery aims to identify spatially continuous and cognitively coherent groups of buildings that represent meaningful urban spatial structures. Existing methods mainly integrate geometric similarity, spatial proximity, and topological
Zhiruo Zhao +3 more
doaj +1 more source
Sequence-to-sequence modeling for graph representation learning
Applied Network Science, 2019 We propose sequence-to-sequence architectures for graph representation learning in both supervised and unsupervised regimes. Our methods use recurrent neural networks to encode and decode information from graph-structured data.
Aynaz Taheri +2 more
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
The proportional representation review.
, 1893 Continued as a department of: Direct legislation record and the proportional representation review."A quarterly magazine, devoted to the reformation of the method of electing representatives."Title from cover.Mode of access: Internet.Revived and absorbed
American Proportional Representation League.
core
New Graph-based Representation Learning Algorithms
, 2023 In recent years, graph neural networks (GNN) have succeeded in many structural data analyses, including information retrieval, recommendation system, and social network analysis.
Zhang, Yanfu
core
Journal of Big DataNowadays, due to the constantly growing amount of textual information, automatic text summarization constitutes an important research area in natural language processing.
Panagiotis Kouris +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source