Qingyun Sun
4 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
2024
Graph representation learning has become a mainstream method for fraud detection due to its strong expressive power, which focuses on enhancing node representations through improved neighborhood knowledge capture. However, the focus on local interactions leads …
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Prompt-based Unifying Inference Attack on Graph Neural Networks
2025 · Proceedings of the AAAI Conference on Artificial Intelligence
Graph neural networks (GNNs) provide important prospective insights in applications such as social behavior analysis and financial risk analysis based on their powerful learning capabilities on graph data. Nevertheless, GNNs' predictive performance relies on the …
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Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
2025 · arXiv (Cornell University)
Graph representation learning has become a mainstream method for fraud detection due to its strong expressive power, which focuses on enhancing node representations through improved neighborhood knowledge capture. However, the focus on local interactions leads …
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Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments
2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph neural networks have shown remarkable success in exploiting the spatial and temporal patterns on dynamic graphs. However, existing GNNs exhibit poor generalization ability under distribution shifts, which is inevitable in dynamic scenarios. As dynamic …