Abstract: Link prediction for directed graphs is a crucial task with diverse real-world applications. Recent advances in embedding methods and Graph Neural Networks (GNNs) have shown promising ...

Abstract: Long sequence time-series forecasting models pay excessive attention to irrelevant information and noise when predicting air temperature, leading to prediction drift and poor generalization ...