Results 71 to 80 of about 1,402,234 (289)

Multi-Head Variational Graph Autoencoder Framework for Link Prediction on Citation Graphs

Engineered Science
Graph neural networks (GNNs) are powerful tools for link prediction in diverse applications such as recommendation systems, drug discovery, knowledge graph completion, and more.
Anindyadeep Sannigrahi, Rahee Walambe, Ketan Kotecha   +2 more
doaj   +1 more source

Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning [PDF]

AAAI Conference on Artificial Intelligence
Given an edge-incomplete graph, how can we accurately find its missing links? The problem aims to discover the missing relations between entities when their relationships are represented as a graph.
J. Kim, Kahyun Park, Hoyoung Yoon, U. Kang   +3 more
semanticscholar   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

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, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Learning to solve multiresolution matrix factorization by manifold optimization and evolutionary metaheuristics

Machine Learning: Science and Technology
Multiresolution matrix factorization (MMF) is unusual amongst fast matrix factorization algorithms in that it does not make a low rank assumption. This makes MMF especially well suited to modeling certain types of graphs with complex multiscale or ...
Truong-Son Hy, Thieu Khang Nguyen, Risi Kondor   +2 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +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, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Applied Text as Graph (ATAG) in an Algorithmic Edition

Journal of the Text Encoding Initiative
The “Applied Text as Graph” (ATAG) methodology introduces a transformative framework for digital scholarly editing that addresses key challenges in text modeling, annotation, and citation with exceptional granularity (https://​github.​com/​THM-Graphs ...
Andreas Kuczera
doaj   +1 more source

Efficient Similarity Search on Quasi-Metric Graphs

IEEE Access, 2019
Similarity search in metric spaces finds similar objects to a given object, which has received much attention as it is able to support various data types and flexible similarity metrics.
Tianming Zhang, Yunjun Gao, Lu Chen, Guanlin Chen, Shiliang Pu   +4 more
doaj   +1 more source

The missing citation graph for science is an open dependency graph

, 2022
Slides from my contribution to the Data & Equipment panel at the inaugural International Conference on the Science of Science and Innovation (ICSSI), National Academy of Sciences, Washington DC, June 7-9, 2022.
openaire   +2 more sources

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
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, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source