1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks
Syed Asad Rizvi, Nazreen Pallikkavaliyaveetil, David Zhang +15
Foundation models have achieved remarkable success across many domains, relying on pretraining over vast amounts of data. Graph-structured data often lacks the same scale as unstru…
cs.LG2022★ 1 cited
Neural Integro-Differential Equations
Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly +4
Modeling continuous dynamical systems from discretely sampled observations is a fundamental problem in data science. Often, such dynamics are the result of non-local processes that…