Abstract: The issue of transaction security has attracted widespread attention due to the frequent occurrence of financial fraud. Graph neural networks (GNNs) can effectively detect financial ...
Abstract: Knowledge graphs (KGs) are structured knowledge bases that represent information as a collection of interconnected entities and relations. Link prediction in KGs aims to infer missing or ...
Main Result: After proper hyperparameter tuning, temporal attention outperforms RNN on validation metrics, supporting our hypothesis that attention over historical states captures richer temporal ...
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