activity
20192024
most citedSpectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

116 citations · 487 across the 22 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning

Tianmeng Yang, Min Zhou, Yujing Wang +4

Graph Active Learning (GAL), which aims to find the most informative nodes in graphs for annotation to maximize the Graph Neural Networks (GNNs) performance, has attracted many res…

cs.LG2023★ 1 cited

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders

Defu Cao, James Enouen, Yujing Wang +4

Causal analysis for time series data, in particular estimating individualized treatment effect (ITE), is a key task in many real-world applications, such as finance, retail, health…