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20222026
most citedBESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion

3 citations · 5 across the 4 of their papers we have counts for

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2 papers · 1 filter

cs.LG2024★ 2 cited

: A Parameter-Efficient Foundation Model for Molecular Learning

Kerstin Kläser, Błażej Banaszewski, Samuel Maddrell-Mander +5

In biological tasks, data is rarely plentiful as it is generated from hard-to-gather measurements. Therefore, pre-training foundation models on large quantities of available data a…

cs.LG2024

Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory

Alexander Mathiasen, Hatem Helal, Paul Balanca +6

Density Functional Theory (DFT) accurately predicts the quantum chemical properties of molecules, but scales as . Schütt et al. (2019) successfully appro…