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cs.LG2026
MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model
Charilaos Papaioannou, Ioannis Tsantilas, Dimitris Giannakakos +9
Single-task fine-tuning of graph neural networks (GNNs) for power grid problems exhibits a systematic failure mode: models that achieve the lowest in-distribution error degrade the…
cs.LG2024
Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf Node
Andreas Charalampopoulos, Nikolas Chatzis, Foivos Ntoulas-Panagiotopoulos +2
Fast feedforward networks (FFFs) are a class of neural networks that exploit the observation that different regions of the input space activate distinct subsets of neurons in wide…