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Found 3 papers, 1 papers with code
SeqNAS: Neural Architecture Search for Event Sequence Classification
As a result of our work we demonstrate that our method surpasses state of the art NAS methods and popular architectures suitable for sequence classification and holds great potential for various industrial applications.
EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
In this paper, we discuss how modern deep learning approaches can be applied to the credit scoring of bank clients.
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data
Financial institutions obtain enormous amounts of data about user transactions and money transfers, which can be considered as a large graph dynamically changing in time.
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