Search Results - subject_exact:"Petri-Netz"

An adaptive graph-based method for structured learning and decision analysis

Samanta, Sovan; Allahviranloo, Tofigh; Mrsic, Leo; … - 2026

Many decision-support systems operate as networks of interacting units (e.g., hospital departments, transportation hubs, or organizational teams). In such systems, different units often use different data representations and model parameters, so direct comparison of local model states across...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654360

Demystifying the digital transformation of humanitarian supply chains through AidTech

Panagiotopoulos, Apostolos; Karyotis, Vasileios; … - 2026

Background: Humanitarian campaigns are more popular with more initiatives organized than ever by public and private bodies. Simultaneously, more peculiar challenges, such as zero-waste and transparency, are required compared to traditional supply chains. This work investigates the current...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015655398

A hybrid formal and optimization framework for real-time scheduling : combining extended time petri nets with genetic algorithms

Affi, Sameh; Miraoui, Imed; Khedher, Atef - 2026

In modern Industry 4.0 environments, real-time scheduling presents a complex challenge requiring both formal correctness guarantees and optimal performance. Background: Traditional approaches fail to provide an optimal integration between formal correctness guaranteeing and optimization, and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015611763

Critical regimes of systemic risk : flow network cascades in the U.S. banking system

Montañez Jacquez, Samuel; Quezada Téllez, Luis Alberto; … - 2026

Systemic risk in banking systems arises from losses transmitted through networks of contractual exposures. Yet, most widely used measures rely on market-implied volatility and equity prices rather than structural balance sheet fragilities. This paper develops a flow network framework that models...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015639141

Graph attention networks in exchange rate forecasting

Landmesser-Rusek, Joanna; Orłowski, Arkadiusz - 2026

Exchange rate forecasting is an important issue in financial market analysis. Currency rates form a dynamic network of connections that can be efficiently modeled using graph neural networks (GNNs). The key mechanism of GNNs is the message passing between nodes, allowing for better modeling of...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015640548

Fine-Scale Spatial Disaggregation of Statistical Data via Graph Neural Networks

Lee, Kamwoo; Blankespoor, Brian; Newhouse, David - 2026

Fine-grained spatial data are critical for informed decision-making in domains ranging from economic planning to environmental management. However, many statistics are only available for coarse administrative units, necessitating techniques for fine-scale spatial disaggregation. This paper...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015641144

Predicting shock propagation and uncovering heterogeneity with graph neural networks

Arata, Yoshiyuki - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015655641

Symmetries in network games

Taylor, Sarah - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015655715

Graph neural network model for cable tunnel cost prediction under high-dimensional construction data

Fang, Ming; Lu, Handong; Lai, Yifeng - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015635256

Take my word for it : how organizational vocabularies foster trust across boundaries

Wang, Peng; Lomi, Alessandro - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015669700

Misunderstandings of the child penalty graph

Folke, Olle; Rickne, Johanna - 2026

We study misunderstandings of a widely used research graph that visualizes how parenthood affects gender inequality in the labor market. The child penalty graph typically displays overlapping trend lines for women and men before parenthood and a sharp divergence thereafter. A large survey...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015653513

Bayesian contiguous Gaussian and generalized linear dynamic models on graphs : theory, computation, and simulation

Stival, Mattia; Tonellato, Stefano F. - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015670865

Leveraging knowledge graphs in pharmaceutical supply chains : insights into key drivers of drug shortages

Eberhardt, Katharina; Schwärzel, Amelie; Kaiser, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015547235

Enhancing bookkeeper decision support through graph representation learning for bank reconciliation

Munoz, Justin; Jalili, Mahdi; Tafakori, Laleh - 2025

The emergence of cloud-based bookkeeping platforms has made it possible to streamline decision-making in tedious accounting tasks, such as bank reconciliation. Bank reconciliation involves tracing the expected cash flow from invoices and bills to the actual payments recorded in a business's bank...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654811

Leveraging financial interdependencies in emerging markets via graph neural networks

Jessen, Nicolai Bloch - 2025

This study examines the role of interdependencies in forecasting sovereign yield spreads in emerging markets using Graph Neural Networks (GNNs). Sovereign yield spreads reflect economic conditions and investor sentiment, making accurate predictions crucial for investors, policymakers, and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654816

Finding money launderers using heterogeneous graph neural networks

Johannessen, Fredrik; Jullum, Martin - 2025

The finance industry depends on effective anti-money laundering (AML) systems to ensure compliance and maintain operational efficiency. However, existing AML systems, which are predominantly rule-based, frequently struggle to detect money laundering accurately. In particular, their inability to...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654865

Bounds and heuristic algorithms for the bin packing problem with minimum color fragmentation

Barkel, Mathijs; Delorme, Maxence; Malaguti, Enrico; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015085085

A logic-based benders decomposition for the car resequencing problem with a painted body storage

Guo, Xinyi; Côté, Jean-François; Zhang, Canrong; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015205336

Extremal chemical graphs of maximum degree at most 3 for 33 degree-based topological indices

Bonte, Sébastien; Devillez, Gauvain; Dusollier, Valentin; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015205377

A graph theoretic approach to modelling supply chain resilience for Indian automobile industry

Agarwal, Nishtha; Seth, Nitin; Kumar, Vinod - 2025

The study quantifies the impact of resilience enablers on various business outcomes affected during a supply chain (SC) disruption faced by the Indian automobile industry. This impact is captured using the resilience index that helps in benchmarking resilience across SCs.Graph theoretic and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015548901

The 2-rainbow domination number of Cartesian bundles over cycles

Brezovnik, Simon; Rupnik Poklukar, Darja; Žerovnik, Janez - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015549187

Realized random graphs, with an application to the interbank network

Buccheri, Giuseppe; Mazzarisi, Piero - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015339740

Graph-based methods for forecasting realized covariances

Zhang, Chao; Pu, Xingyue; Cucuringu, Mihai; Dong, Xiaowen - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015339744

A multifaceted graph-wise network analysis of sector-based financial instruments’ price-based discrepancies with diverse statistical interdependencies

Choi, Insu; Kim, Woo Chang - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015359907

Task mapping strategies for electric power system simulations on heterogeneous clusters

Durette, Julie; Karabulut Kurt, Gunes; Lesage-Landry, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015386864

A graph convolutional network for optimal intelligent predictive maintenance of railway tracks

MajidiParast, Saeed; Neamatian Monemi, Rahimeh; … - 2025

This study presents a prescriptive analytics framework for optimal intelligent predictive maintenance of railway tracks. We use machine learning and Graph Convolutional Networks (GCNs) to optimize the maintenance schedules for railway infrastructure and enhance operational efficiency and safety....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420116

Towards trustworthy AI for link prediction in supply chain knowledge graph : a neurosymbolic reasoning approach

Kosasih, Edward Elson; Brintrup, Alexandra - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015422332

Complete polyhedral description of chemical graphs of maximum degree at most 3

Dusollier, Valentin; Bonte, Sébastien; Devillez, Gauvain; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015422763

Graph-based analysis of Armenia's connectivity in the EU-Asia trade network : strategic role and limitations

Atoyan, Vardan; Matevosyan, Diana - 2025

The growing geopolitical tensions and regional instabilities in Eurasia raise urgent questions about the resilience of trade routes and infrastructure connectivity. This paper applies a graphbased approach to model the EU-Asia trade network and explores Armenia's potential as a transit hub...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015464295

Predicting inland waterway freight demand with a dynamic spatio-temporal graph attention-based multi attention network

Zhang, Lingyu; Schacht, Oliver; Liu, Qing; Ng, Koi Yu Adolf - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015451182

Data-driven predictive model for dynamic expected travel time estimation in rail freight networks : a case study

Kumar, Suraj; Sharma, Ayush; Kumar, Gaurav - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015451323

Residual-enhanced graph convolutional networks with hypersphere mapping for anomaly detection in attributed networks

Khan, Wasim; Mohd, Afsaruddin; Suaib, Mohammad; Ishrat, … - 2025

In the burgeoning field of anomaly detection within attributed networks, traditional methodologies often encounter the intricacies of network complexity, particularly in capturing nonlinearity and sparsity. This study introduces an innovative approach that synergizes the strengths of graph...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015455579

Uncovering systemic risk in ASEAN corporations : a framework based on graph theory and hidden models

Cortés Rufé, Marc; Martí Pidelaserra, Jordi; … - 2025

In the context of an ever-evolving global economy, ASEAN companies face dynamic systemic risk that reshapes their financial interrelationships. This study examines the transmission of these risks using advanced graph theory techniques, particularly the measurement of eigenvector centrality based...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015408941

Fraud detection at eBay

Rao, Susie Xi; Han, Zhichao; Yin, Hang; Jiang, Jiawei; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015412099

An approximation algorithm for multi-allocation hub location problems

Jost, Niklas - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015433741

Robust and Distributionally Robust Shortest Path problems : a survey

Filippi, Carlo; Maggioni, Francesca; Speranza, Maria Grazia - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015434007

The connected Grundy coloring problem : formulations and a local-search enhanced biased random-key genetic algorithm

Silva, Mateus C.; Melo, Rafael A.; Resende, Mauricio G. C. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015460045

Graph neural network and expert-guided deep reinforcement learning for solving flexible job-shop scheduling problem

Zhang, Wenqiang; Bao, Xuan; Geng, Huili; Zhang, Guohui; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015460127

The EU public debt synchronization : a complex networks approach

Gkatzoglou, Fotios; Sofianos, Emmanouil; … - 2025

This study examines the evolution of public debt among the 27 EU member states using Graph Theory tools; the Threshold Weighted-Minimum Dominating Set (TW-MDS) and the k-core decomposition method, alongside a standard network quantitative metric, the density. By separating the data into three...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015441257

Production control with Reinforcement Learning for a matrix-structured production system

Steinbacher, L. M.; Wegmann, T.; Freitag, Michael - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015445294

Matching impatient and heterogeneous demand and supply

Aveklouris, Angelos; DeValve, Levi; Stock, Maximiliano; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015445776

Optimizing the crude oil trade network : balancing cost and environmental impact

Sajedianfard, Najmeh; Shahnazi, Rouhollah - 2025

The global crude oil trade network, a cornerstone of energy supply chains, suffers from structural inefficiencies that amplify environmental damage and geopolitical risks. This study aims to (1) develop an optimization model reconciling logistical costs with CO2 emissions, (2) quantify energy...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015593463

Exploring knowledge structure of "dual carbon" policies : combining computational text mining and knowledge graph

Fu, Yuan; Wen, Peihan; Wu, Junlin; Shu, Yujiao - 2025

To support energy transition and climate action, China has announced its "dual carbon" goals and introduced a series of related policies. However, these policies remain disorganised and scattered across various platforms and formats, posing significant challenges for accessibility and effective...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015596660

ChemicHull : an online tool for determining extremal chemical graphs of maximum degree at most 3 for any degree-based topological indices

Bonte, Sébastien; Devillez, Gauvain; Dusollier, Valentin; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015550314

Modeling ESG-driven industrial value chain dynamics using directed graph neural networks

Tan, Zhizhong; Liu, Siyang; Liu, Qiang; Hu, Min; Zhang, … - 2025

This study explores the dynamics of industrial value chains from the perspective of directed graph neural networks (DGNNs). This study focuses on the effects of environmental, social, and governance (ESG) factors on industrial value extension. The industrial value chain, which encompasses a...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015557817

Forecasting cryptocurrency volatility : a novel framework based on the evolving multiscale graph neural network

Zhou, Yang; Chi, Xie; Wang, Gang-Jin; Gong, Jue; Zhu, You - 2025

Cryptocurrency is a remarkable financial innovation that has affected the financial system in fundamental ways. Its increasingly complex interactions with the conventional financial market make precisely forecasting its volatility increasingly challenging. To this end, we propose a novel...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015557905

Minimal and stable feedback arc sets and graph centrality measures

Cavallaro, Claudia; Cutello, Vincenzo; Pavone, Mario - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015519703

A machine learning approach for enhancing supply chain visibility with graph-based learning

Zheng, Ge; Brintrup, Alexandra - 2025

In today's globalised trade, supply chains form complex networks spanning multiple organisations and even countries, making them highly vulnerable to disruptions. These vulnerabilities, highlighted by recent global crises, underscore the urgent need for improved visibility and resilience of the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015519771

Characterization of transport optimizers via graphs and applications to Stackelberg-Cournot-Nash equilibria

Acciaio, Beatrice; Neumann, Berenice Anne - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015526386

Tourism ecological efficiency assessment based on multi-source data fusion and graph neural network

Lin, Luoyanzi; Lv, Jiehua - 2025

Current research on evaluating tourism’s ecological efficiency using multi-source data fusion and graph neural networks has notable limitations. At the data level, integrating diverse sources is difficult due to differences in format, quality, and meaning. Data cleaning and preprocessing can...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015531608

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Tourism ecological efficiency assessment based on multi-source data fusion and graph neural network

Lin, Luoyanzi; Lv, Jiehua - 2025

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