Graph structure learning

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing

root January 24, 2024 0

The paper presents DeepRicci, a self-supervised model for graph structure-feature co-refinement. It aims to solve the over-squashing issue that is common in Graph Neural Networks (GNNs). This is achieved by…

Machine Learning

DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction

root January 4, 2024 0

This research paper introduces a new approach called DGDNN for predicting stock movement. Traditional methods often ignore the interdependencies between stocks and the hierarchical structure of the stocks themselves. The…

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Graph structure learning

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