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ECHO-Charge

Emerging
1papers using it
2025first seen

ECHO-Charge is a dataset within the ECHO benchmark that contains chemically grounded data for predicting atomic partial charges, specifically designed to evaluate the ability of graph neural networks to capture complex long-range molecular interactions.

Papers using ECHO-Charge (1)

ECHO-Charge β€” datasets β€” graph-learning