Results 151 to 160 of about 649,217 (300)
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings
The issue of bias (i.e., systematic unfairness) in machine learning models has recently attracted the attention of both researchers and practitioners.
Rissaki, Agapi +6 more
core
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Metagenomic binning with assembly graph embeddings. [PDF]
Lamurias A +4 more
europepmc +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Multi-relational Poincaré Graph Embeddings [PDF]
Hyperbolic embeddings have recently gained attention in machine learning due to their ability to represent hierarchical data more accurately and succinctly than their Euclidean analogues.
Hospedales, Timothy; id_orcid +2 more
core +2 more sources
Learning from Feature and Global Topologies: Adaptive Multi-View Parallel Graph Contrastive Learning
To address the limitations of existing graph contrastive learning methods, which fail to adaptively integrate feature and topological information and struggle to efficiently capture multi-hop information, we propose an adaptive multi-view parallel graph ...
Yumeng Song +3 more
doaj +1 more source
Upward Embeddings and Orientations of Undirected Planar Graphs
An upward embedding of an embedded planar graph specifies, for each vertex v, which edges are incident on v "above" or "below" and, in turn, induces an upward orientation of the edges from bottom to top.
Pizzonia M. +3 more
core +1 more source
Additive Manufacturing of Alumina‐Reinforced Elastomers
Vat‐photopolymerized elastomers reinforced with platelet‐shaped alumina exhibited preferential orientation, reduced porosity, and significantly enhanced mechanical performance. A 3 wt% platelet loading increased tensile strength from 12.4 to 45.7 MPa, highlighting the critical role of filler morphology in elastomeric VPP composites.
Majid Barzegar Keyvani +6 more
wiley +1 more source
Revealing brain connectivity: graph embeddings for EEG representation learning and comparative analysis of structural and functional connectivity. [PDF]
Almohammadi A, Wang YK.
europepmc +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source

