Search Results - subject_exact:"Graph theory"

Shipping network research: a systematic and quantitative review

Ducruet, César; Faure, Marc-Antoine - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015410428

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

Artificial intelligence for detecting price surges based on network features of crypto asset transactions

Ikeda, Yūichi; Aoyama, Hideaki; Hatsuda, Tetsuo; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015558547

A heuristic method to solve an assignment problem using a random walk approximation

Monteiro, Léo; Tremblay, Hugo; Séguin, Sara - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015101664

Mapping financial connections : market integration in emerging economies through Graph theory

Cortés Rufé, Marc; Martí Pidelaserra, Jordi - 2024

In this study, we explore the financial and economic integration of BRICS nations (Brazil, Russia, India, China, and South Africa) and key emerging economies (Egypt, Saudi Arabia, and the UAE) using graph theory, aiming to map intersectoral connections and their impact on financial stability and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015130336

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

An analysis of the European sustainable investment regulation for new ways of entrepreneurship

Salas-Molina, Francisco; Giménez-Chaparro, Aarón; … - 2026

Entrepreneurs are often at the forefront of developing green technologies, circular economy models, and social enterprises. In addition, the European Union Regulation on sustainable investment aims to redirect capital flows toward environmentally sustainable activities. This paper aims to...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015589398

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

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

Portfolio optimization using minimum spanning tree model in the Moroccan stock exchange market

Berouaga, Younes; El Msiyah, Cherif; Madkour, Jaouad - 2023

Portfolio optimization is a pertinent topic of significant importance in the financial literature. During the portfolio construction, an investor confronts two important steps: portfolio selection and portfolio allocation. This article seeks to investigate portfolio optimization based on the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014284712

A tutorial on graph models for scheduling round-robin sports tournaments

Ribeiro, Celso C.; Urrutia, Sebastián; Werra, Dominique de - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014328001

Robotic Process Automation (RPA) using a heuristic method and the effective resistance of a graph

Tremblay, Hugo; Séguin, Sara; Boily, Laurie-Ann; Du … - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014252963

Connectedness between G10 currencies : searching for the causal structure

Bettendorf, Timo; Heinlein, Reinhold - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014429216

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Connectedness between G10 currencies : searching for the causal structure

Bettendorf, Timo; Heinlein, Reinhold - 2019

Book / Working Paper

The EU public debt synchronization: A complex networks approach

Gkatzoglou, Fotios; Sofianos, Emmanouil; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015468882

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

Approximating the strength of higher-level RLT inequalities in the first-level RLT space for polynomial 0-1 programs

Dan Dije, Ibrahim; Djeumou Fomeni, Franklin; Coelho, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015467566

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

Analysis of urban functional areas based on graph clustering neural networks

Bai, Huimin; Zhu, Xia; Liu, Yuanping; Zhang, Tiange; … - 2025

Urban functional areas, as an important fundamental component of urban planning, hold significant importance for optimizing urban layouts, resource allocation, and the rational organization of socio-economic activities. Urban functional area division using traditional methods often has...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015458311

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

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