Results 101 to 110 of about 5,608,609 (280)

Graph Anomaly Detection Algorithm Based on Multi-View Heterogeneity Resistant Network

Information
Graph anomaly detection (GAD) aims to identify nodes or edges that deviate from normal patterns. However, the presence of heterophilic edges in graphs leads to feature over-smoothing issues. To overcome this limitation, this paper proposes the multi-view
Yangrui Fan, Caixia Cui, Zhiqiang Wang, Hui Qi, Zhen Tian   +4 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, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Graph Drawing Techniques for Geographic Visualization [PDF]

, 2004
Geovisualizers often need to represent data that consists of items related together. Such data sets can be abstracted to a mathematical structure, the graph.
Rodgers, Peter
core  

Ideal Graph of a Graph [PDF]

, 2011
In this paper, we introduce ideal graph of a graph and study some of its properties. We characterize connectedness, isomorphism of graphs and coloring property of a graph using ideal graph.
Manoharan, R., Vasuki, R.
core   +1 more source

On self-complementary strongly regular graphs

Discrete Mathematics, 1988
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

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

Research hotspots and trend analysis of intelligent asphalt pavement technology based on CiteSpace

Journal of Traffic and Transportation Engineering (English ed. Online)
Based on the visualization analysis method of bibliometrics, 1268 core academic papers in the fields of self-sensing, self-energy harvesting, self-snow melting, self-cleaning, self-temperature regulation, and self-healing from January 2020 to June 2025 ...
Lei Chen, Yucong Wang, Wenxuan Li, Qian Chen, Chaohui Wang   +4 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

Sylow subgraphs in self-complementary vertex transitive graphs [PDF]

, 2006
A graph is self-complementary if it is isomorphic to its complement. A graph is vertex transitive if for each choice of vertices u and v there is an automorphism that carries the vertex u to v.
Robert A. Beezer, Beezer, Robert A.
core   +1 more source

MTKD-RL: Multi-Teacher Knowledge Distillation Method for Reinforcement Learning Based on Few-Shot Node Classification

Computers
Few-shot node classification aims to effectively predict new class nodes using only a small number of labeled samples, which is an important research direction in graph data mining.
Dianjun Xie, Wenai Song, Ruize Guo, Biaokai Zhu, Yiran Li   +4 more
doaj   +1 more source