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Explainability and Graph Learning from Social Interactions
Social learning algorithms provide models for the formation of opinions over social networks resulting from local reasoning and peer-to-peer exchanges.
Online Graph Learning from Social Interactions
For a given graph topology, these algorithms allow for the prediction of formed opinions.
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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