most citedTowards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2023

Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting

Juhyeon Kim, Hyungeun Lee, Seungwon Yu +4

Multivariate time series is prevalent in many scientific and industrial domains. Modeling multivariate signals is challenging due to their long-range temporal dependencies and intr…

cs.LG2022★ 2 cited

Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks

Hyungeun Lee, Kijung Yoon

Graph neural networks (GNNs) have become compelling models designed to perform learning and inference on graph-structured data. However, little work has been done to understand the…