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The heterophilic graph learning handbook: Benchmarks, models, theoretical analysis, applications and challenges
S Luan, C Hua, Q Lu, L Ma, L Wu, X Wang… - ar** aggregation gnn for fraud detection
M Duan, T Zheng, Y Gao, G Wang, Z Feng… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Fraud detection has increasingly become a prominent research field due to the dramatically
increased incidents of fraud. The complex connections involving thousands, or even millions …
increased incidents of fraud. The complex connections involving thousands, or even millions …
What is missing in homophily? disentangling graph homophily for graph neural networks
Y Zheng, S Luan, L Chen - arxiv preprint arxiv:2406.18854, 2024 - arxiv.org
Graph homophily refers to the phenomenon that connected nodes tend to share similar
characteristics. Understanding this concept and its related metrics is crucial for designing …
characteristics. Understanding this concept and its related metrics is crucial for designing …