Papers

• Contingent Convertible Bonds in Financial Networks (2020)
  Giovanni Calice et al.
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• Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data (2021)
  Luisa Roa et al.
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• Bailouts in Financial Networks (2021)
  Beni Egressy et al.
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• Relational Graph Neural Networks for Fraud Detection in a Super-App environment (2021)
  Jaime D. Acevedo-Viloria et al.
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• Holder Recommendations using Graph Representation Learning & Link Prediction (2022)
  Rachna Saxena et al.
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• Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer (2023)
  Yue Tian et al.
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• Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy (2023)
  Kleyton da Costa
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• Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction (2024)
  Sahab Zandi et al.
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• Investigating Similarities Across Decentralized Financial (DeFi) Services (2024)
  Junliang Luo et al.
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• A Deep Learning Method for Predicting Mergers and Acquisitions: Temporal Dynamic Industry Networks (2024)
  Dayu Yang
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• The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset (2024)
  Claudio Bellei et al.
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• Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning (2024)
  Jianguo Sun et al.
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• Identifying Money Laundering Subgraphs on the Blockchain (2024)
  Kiwhan Song et al.
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• Bitcoin Research with a Transaction Graph Dataset (2024)
  Hugo Schnoering and Michalis Vazirgiannis
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