BARTSmiles: Generative Masked Language Models for Molecular
Representations

BARTSmiles: Generative Masked Language Models for Molecular Representations

29 November 2022

Gayane Chilingaryan

Hovhannes Tamoyan

Karen Hambardzumyan

Hrant Khachatrian

Armen Aghajanyan

Papers citing "BARTSmiles: Generative Masked Language Models for Molecular Representations"

18 / 18 papers shown

Title
Chem42: a Family of chemical Language Models for Target-aware Ligand Generation A. Singh Engin Tekin Maryam Nadeem Nancy A. ElNaker Mohammad Amaan Sayeed Natalia Vassilieva Boulbaba Ben Amor 37 1 0 20 Mar 2025
Multi-view biomedical foundation models for molecule-target and property prediction Parthasarathy Suryanarayanan Yunguang Qiu Shreyans Sethi Diwakar Mahajan Hongyang Li ... Bum Chul Kwon Pablo Meyer Feixiong Cheng Jianying Hu Joseph A. Morrone AI4CE 24 0 0 25 Oct 2024
Regression with Large Language Models for Materials and Molecular Property Prediction Ryan Jacobs Maciej P. Polak Lane E. Schultz Hamed Mahdavi V. Honavar Dane Morgan 18 2 0 09 Sep 2024
Small Molecule Optimization with Large Language Models Philipp Guevorguian Menua Bedrosian Tigran Fahradyan Gayane Chilingaryan Hrant Khachatrian Armen Aghajanyan 27 1 0 26 Jul 2024
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery Yu Zhang Xiusi Chen Bowen Jin Sheng Wang Shuiwang Ji Wei Wang Jiawei Han 40 17 0 16 Jun 2024
From Words to Molecules: A Survey of Large Language Models in Chemistry Chang Liao Yemin Yu Yu Mei Ying Wei 20 16 0 02 Feb 2024
MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures Zhuoyuan Wang Jiacong Mi Shan Lu Jieyue He 16 1 0 28 Nov 2023
nach0: Multimodal Natural and Chemical Languages Foundation Model M. Livne Z. Miftahutdinov E. Tutubalina Maksim Kuznetsov Daniil Polykovskiy ... Aastha Jhunjhunwala Anthony Costa Alex Aliper Alán Aspuru-Guzik Alex Zhavoronkov AI4CE 13 12 0 21 Nov 2023
A survey of Generative AI Applications Roberto Gozalo-Brizuela Eduardo C. Garrido-Merchán 3DV MedIm 16 40 0 05 Jun 2023
Bayesian Optimization of Catalysts With In-context Learning M. C. Ramos Shane S. Michtavy Marc D. Porosoff Andrew D. White BDL 21 30 0 11 Apr 2023
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language Philipp Seidl Andreu Vall Sepp Hochreiter G. Klambauer 55 35 0 06 Mar 2023
Domain-Agnostic Molecular Generation with Chemical Feedback Yin Fang Ningyu Zhang Zhuo Chen Lingbing Guo Xiaohui Fan Huajun Chen 28 11 0 26 Jan 2023
Scaling Laws for Generative Mixed-Modal Language Models Armen Aghajanyan L. Yu Alexis Conneau Wei-Ning Hsu Karen Hambardzumyan Susan Zhang Stephen Roller Naman Goyal Omer Levy Luke Zettlemoyer MoE VLM 19 102 0 10 Jan 2023
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast Yuyang Wang Rishikesh Magar Chen Liang A. Farimani 35 78 0 18 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Chemical-Reaction-Aware Molecule Representation Learning Hongwei Wang Weijian Li Xiaomeng Jin Kyunghyun Cho Heng Ji Jiawei Han Martin Burke 95 46 0 21 Sep 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 154 1,748 0 02 Mar 2017