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A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

12 September 2022
Bing-Huang Su
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
ArXivPDFHTML

Papers citing "A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language"

13 / 13 papers shown
Title
Chemical Language Model Linker: blending text and molecules with modular adapters
Chemical Language Model Linker: blending text and molecules with modular adapters
Yifan Deng
Spencer S. Ericksen
Anthony Gitter
19
0
0
26 Oct 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong
Jiarui Feng
Hao Liu
Chengsong Huang
Jiaxin Huang
Yixin Chen
Muhan Zhang
AI4CE
67
6
0
12 Jul 2024
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension
Khiem Le
Zhichun Guo
Kaiwen Dong
Xiaobao Huang
B. Nan
Roshni G. Iyer
Xiangliang Zhang
Olaf Wiest
Wei Wang
Nitesh V. Chawla
23
8
0
10 Jun 2024
Large Language Models are In-Context Molecule Learners
Large Language Models are In-Context Molecule Learners
Jiatong Li
Wei Liu
Zhihao Ding
Wenqi Fan
Yuqiang Li
Qing Li
32
5
0
07 Mar 2024
Towards 3D Molecule-Text Interpretation in Language Models
Towards 3D Molecule-Text Interpretation in Language Models
Sihang Li
Zhiyuan Liu
Yancheng Luo
Xiang Wang
Xiangnan He
Kenji Kawaguchi
Tat-Seng Chua
Qi Tian
AI4CE
11
42
0
25 Jan 2024
Computational modeling of semantic change
Computational modeling of semantic change
Nina Tahmasebi
Haim Dubossarsky
23
6
0
13 Apr 2023
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
32
60
0
09 Feb 2023
Keeping it Simple: Language Models can learn Complex Molecular
  Distributions
Keeping it Simple: Language Models can learn Complex Molecular Distributions
Daniel Flam-Shepherd
Kevin Zhu
A. Aspuru‐Guzik
120
142
0
06 Dec 2021
Chemical-Reaction-Aware Molecule Representation Learning
Chemical-Reaction-Aware Molecule Representation Learning
Hongwei Wang
Weijian Li
Xiaomeng Jin
Kyunghyun Cho
Heng Ji
Jiawei Han
Martin Burke
89
46
0
21 Sep 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
157
185
0
01 Feb 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
208
1,205
0
12 Feb 2018
MoleculeNet: A Benchmark for Molecular Machine Learning
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
152
1,748
0
02 Mar 2017
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