Cover Image

Networked Markets, Fragmented Data: Adaptive Graph Learning for Customer Risk Analytics and Policy Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Lecheng, Ni, Jian, Zobel, Chris, Birge, John R
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mechanism Design for Decentralized Risk Detection: Strict Propriety, Network Coalitions, and the Backfiring Mandat
by: Ni, Jian, et al.
Published: (2026)

An Analytics-Driven Approach to Enhancing Supply Chain Visibility with Graph Neural Networks and Federated Learning
by: Zheng, Ge, et al.
Published: (2025)

Liquidity Fragmentation or Optimization? Analyzing Automated Market Makers Across Ethereum and Rollups
by: Gogol, Krzysztof, et al.
Published: (2024)

When Crypto Economics Meet Graph Analytics and Learning
by: Luo, Bingqiao
Published: (2024)

Systematic Trend-Following with Adaptive Portfolio Construction: Enhancing Risk-Adjusted Alpha in Cryptocurrency Markets
by: Bui, Duc, et al.
Published: (2026)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)

Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
by: Jian, Xudong, et al.
Published: (2024)

Pre-training Time Series Models with Stock Data Customization
by: Wang, Mengyu, et al.
Published: (2025)

DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets
by: Zhou, Wanyun, et al.
Published: (2025)

Development and Validation of an Artificial Neural Network for the Recognition of Custom Dataset with YOLOv4
by: Veysi, P., et al.
Published: (2024)

Billiards Sports Analytics: Datasets and Tasks
by: Zhang, Qianru, et al.
Published: (2024)

Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting
by: Zheng, Zinan, et al.
Published: (2025)

Toward Black Scholes for Prediction Markets: A Unified Kernel and Market Maker's Handbook
by: Dalen, Shaw
Published: (2025)

Stablecoins as Dry Powder: A Copula-Based Risk Analysis of Cryptocurrency Markets
by: Jones, Elliot, et al.
Published: (2026)

Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)

An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding
by: Liu, Pengwei, et al.
Published: (2025)

Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing
by: Niimi, Junichiro
Published: (2024)

Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France
by: Natterer, Elena, et al.
Published: (2024)

Capsule Network-Based Multimodal Fusion for Mortgage Risk Assessment from Unstructured Data Sources
by: Tavakoli, Mahsa, et al.
Published: (2025)

Measuring Investor Learning in Private Markets: A Sequential LLM-Bayesian Analysis of Expert Network Calls
by: Chai, Yidong, et al.
Published: (2025)

The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
by: Gregnanin, Marco, et al.
Published: (2026)

Dynamic Hedging Strategies in Derivatives Markets with LLM-Driven Sentiment and News Analytics
by: Yang, Jie, et al.
Published: (2025)

Towards Calibrating Financial Market Simulators with High-frequency Data
by: Yang, Peng, et al.
Published: (2025)

Network Analysis of Uniswap: Centralization and Fragility in the Decentralized Exchange Market
by: Yan, Tao, et al.
Published: (2025)

The Hype Index: an NLP-driven Measure of Market News Attention
by: Cao, Zheng, et al.
Published: (2025)

Scientific Machine Learning-assisted Model Discovery from Telemetry Data
by: Micluta-Campeanu, Sebastian, et al.
Published: (2026)

CryptoAnalytics: Cryptocoins Price Forecasting with Machine Learning Techniques
by: De Rosa, Pasquale, et al.
Published: (2024)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)

Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
by: Wasi, Azmine Toushik, et al.
Published: (2024)

Stock Market Dynamics Through Deep Learning Context
by: Aminimehr, Amirhossein, et al.
Published: (2024)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
by: Hu, Yifan, et al.
Published: (2025)

Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)

Tokenized but Illiquid? Evidence from Real-World Asset Markets
by: Mafrur, Rischan
Published: (2026)

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
by: Estornell, Andrew, et al.
Published: (2024)

Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning
by: Kim, Seongmin, et al.
Published: (2025)

Iterative Classification of Graph-Set-Based Designs (IC-GSBD) for the Down-Selection of Aircraft Thermal Management Systems
by: Sirico Jr., Anthony, et al.
Published: (2023)

AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets
by: Fan, Tianyu, et al.
Published: (2025)

InvariantStock: Learning Invariant Features for Mastering the Shifting Market
by: Cao, Haiyao, et al.
Published: (2024)

Integrating Generative AI into Financial Market Prediction for Improved Decision Making
by: Che, Chang, et al.
Published: (2024)

A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
by: Du, Jian, et al.
Published: (2024)