ChiENN: Embracing Molecular Chirality with Graph Neural Networks
Tytuł:
ChiENN: Embracing Molecular Chirality with Graph Neural Networks
Konferencja:
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD]
Rok:
2023
Strony:
36-52
Tom (seria wydawnicza):
Lecture Notes in Computer Science(), vol 14171. Springer, Cham
Numer DOI:
https://doi.org/10.1007/978-3-031-43418-1_3
Link:
https://link.springer.com/chapter/10.1007/978-3-031-43418-1_3