Geometric Transformer for End-to-End Molecule Properties Prediction

v1v2v3 (latest)

Geometric Transformer for End-to-End Molecule Properties Prediction

26 October 2021

Lior Wolf

ArXiv (abs)PDF HTML

Papers citing "Geometric Transformer for End-to-End Molecule Properties Prediction"

8 / 8 papers shown

Title
REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring Taewon Kim Hyunjin Seo SungSoo Ahn Eunho Yang AI4CE 132 1 0 04 Oct 2024
Advancements in Molecular Property Prediction: A Survey of Single and Multimodal Approaches Tanya Liyaqat T. Ahmad Chandni Saxena 185 7 0 18 Aug 2024
ChiENN: Embracing Molecular Chirality with Graph Neural Networks Piotr Gaiñski Michał Koziarski Jacek Tabor Marek Śmieja GNN 208 5 0 05 Jul 2023
Generalist Equivariant Transformer Towards 3D Molecular Interaction LearningInternational Conference on Machine Learning (ICML), 2023 Xiangzhe Kong Wen-bing Huang Yang Liu 336 20 0 02 Jun 2023
Capturing long-range interaction with reciprocal space neural network Hongyu Yu Liangliang Hong Shiyou Chen X. Gong Hongjun Xiang 113 15 0 30 Nov 2022
Error Correction Code TransformerNeural Information Processing Systems (NeurIPS), 2022 Yoni Choukroun Lior Wolf 97 69 0 27 Mar 2022
Relative Molecule Self-Attention TransformerJournal of Cheminformatics (J Cheminform), 2021 Lukasz Maziarka Dawid Majchrowski Tomasz Danel Piotr Gaiñski Jacek Tabor Igor T. Podolak Pawel M. Morkisz Stanislaw Jastrzebski MedIm 136 42 0 12 Oct 2021
GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation LearningACS Omega (ACS Omega), 2021 Bumju Kwak J. Park Taewon Kang Jeonghee Jo Byunghan Lee Sungroh Yoon AI4CE 133 6 0 29 Jun 2021