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cs.LG2025
Inference-friendly Graph Compression for Graph Neural Networks
Yangxin Fan, Haolai Che, Yinghui Wu
Graph Neural Networks (GNNs) have demonstrated promising performance in graph analysis. Nevertheless, the inference process of GNNs remains costly, hindering their applications for…
cs.LG2024
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale
Yangxin Fan, Raymond Wieser, Laura Bruckman +2
We propose a novel Spatio-Temporal Graph Neural Network empowered trend analysis approach (ST-GTrend) to perform fleet-level performance degradation analysis for Photovoltaic (PV)…