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cs.LG2026
Node-level Graph Neural Architecture Search Framework
Lintao Yanga, Sirui Lia, Yaqing Wang +4
In recent years, Graph Neural Networks (GNNs) and architecture search frameworks have gained extensive application in non-Euclidean data processing, attributable to their superior…
cs.LG2026
Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning
Xuyang Shen, Zijie Pan, Diego Cerrai +4
Extreme weather events, such as severe storms, hurricanes, snowstorms, and ice storms, which are exacerbated by climate change, frequently cause widespread power outages. These out…
cs.LG2025
Directed Link Prediction using GNN with Local and Global Feature Fusion
Yuyang Zhang, Xu Shen, Yu Xie +3
Link prediction is a classical problem in graph analysis with many practical applications. For directed graphs, recently developed deep learning approaches typically analyze node s…