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Graph Neural Networks (GNNs) are a class of deep learning-based methods for processing graph domain information.
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Financial time series forecasting with multi-modality graph neural network
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Back to the drawing board: A critical evaluation of poisoning attacks on production federated learning. In 2022 IEEE Symposium on Security and Privacy (SP) . IEEE, 1354–1371
Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, and Daniel Ramage. 2022 · 2022
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A Review on Graph Neural Network Methods in Financial Applications
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More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks. In Proceedings of the 38th Annual Computer Security Applications Conference (Austin, TX, USA) (ACSAC ’22) . Association for Computing Machinery, New York, NY, USA, 684–698
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