Results 141 to 150 of about 649,217 (300)
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Graph Representation Learning for Street-Level Crime Prediction
ISPRS International Journal of Geo-InformationIn contemporary research, the street network emerges as a prominent and recurring theme in crime prediction studies. Meanwhile, graph representation learning shows considerable success, which motivates us to apply the methodology to crime prediction ...
Haishuo Gu, Jinguang Sui, Peng Chen
doaj +1 more source
Simultaneous Graph Embedding with Bends and Circular Arcs
, 2007 We consider the problem of simultaneous embedding of planar graphs. We demonstrate how to simultaneously embed a path and an n-level planar graph and how to use radial embeddings for curvilinear simultaneous embeddings of a path and an outerplanar ...
Cappos, Justin +3 more
core +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
Advanced Engineering Materials, EarlyView.The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
MathematicsSentiment analysis in Chinese microblogs is challenged by complex syntactic structures and fine-grained sentiment shifts. To address these challenges, a Contextually Enriched Graph Neural Network (CE-GNN) is proposed, integrating self-supervised learning,
Zhesheng Jin, Yunhua Zhang
doaj +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Semantically Guided Multi-Stage Graph Learning for Inductive Multi-Label Text Classification
Journal of King Saud University: Computer and Information SciencesMost graph neural network-based multi-label text classification methods suffer from two key engineering limitations: poor generalization to unseen data due to transductive learning, and suboptimal performance caused by fixed-label graphs that fail to ...
Mingqiang Wu
doaj +1 more source
Knowledge Graph Embeddings for ICU readmission prediction. [PDF]
BMC Med Inform Decis Mak, 2023 Carvalho RMS, Oliveira D, Pesquita C.
europepmc +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Advanced Engineering Materials, EarlyView.Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Development of a Knowledge Graph Embeddings Model for Pain. [PDF]
AMIA Annu Symp Proc, 2023 Chaturvedi J +4 more
europepmc +1 more source