Papers

• Knowledge-Integrated Representation Learning for Crypto Anomaly Detection under Extreme Label Scarcity; Relational Domain-Logic Integration with Retrieval-Grounded Context and Path-Level Explanations (2026)
  Gyuyeon Na et al.
  1.61
• Incorporating data drift to perform survival analysis on credit risk (2026)
  Jianwei Peng (Humboldt-Universit\"at zu Berlin) et al.
  1.61
• Systemic Risk Radar: A Multi-Layer Graph Framework for Early Market Crash Warning (2025)
  Sandeep Neela
  1.56
• CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market (2025)
  Dixon Domfeh and Saeid Safarveisi
  1.33
• Circular Directional Flow Decomposition of Networks (2025)
  Marc Homs-Dones et al.
  1.22
• Utilizing Effective Dynamic Graph Learning to Shield Financial Stability from Risk Propagation (2025)
  Guanyuan Yu et al.
  1.00
• Corporate Fraud Detection in Rich-yet-Noisy Financial Graph (2025)
  Shiqi Wang et al.
  1.00
• Contingent Convertible Bonds in Financial Networks (2020)
  Giovanni Calice et al.
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• The Physics of Financial Networks (2021)
  Marco Bardoscia et al.
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• RiskNet: Neural Risk Assessment in Networks of Unreliable Resources (2022)
  Krzysztof Rusek et al.
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• Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks (2022)
  Yu Zhao et al.
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• Deep Learning in Business Analytics: A Clash of Expectations and Reality (2022)
  Marc Schmitt
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• Dimensional Reduction of Solvency Contagion Dynamics on Financial Networks (2022)
  Gianmarco Ricciardi et al.
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• Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects (2023)
  Chao Zhang et al.
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• Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning (2024)
  Daixin Wang et al.
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• Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks (2024)
  Kamesh Korangi et al.
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• Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment (2024)
  Bingyao Liu et al.
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• Conditional Forecasting of Margin Calls using Dynamic Graph Neural Networks (2024)
  Matteo Citterio et al.
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