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Rui Cheng

2 accepted papers

2022

Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes

IJCAI 2022poster

In finance, the risk of an entity depends not only on its historical information but also on the risk propagated by its related peers. Pilot studies rely on Graph Neural Networks (GNNs) to model this risk propagation, where each entity is treated as a node and represented by its time-series inform…

2021

Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks

AAAI 2021technical

In finance, the momentum spillovers of listed firms is well acknowledged. Only few studies predicted the trend of one firm in terms of its relevant firms. A common strategy of the pilot work is to adopt graph convolution networks (GCNs) with some predefined firm relations. However, momentum spillove…