ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.05481
  4. Cited By
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"

34 / 84 papers shown
Title
InstructMol: Multi-Modal Integration for Building a Versatile and
  Reliable Molecular Assistant in Drug Discovery
InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery
He Cao
Zijing Liu
Xingyu Lu
Yuan Yao
Yu Li
33
58
0
27 Nov 2023
A Survey of Graph Meets Large Language Model: Progress and Future
  Directions
A Survey of Graph Meets Large Language Model: Progress and Future Directions
Yuhan Li
Zhixun Li
Peisong Wang
Jia Li
Xiangguo Sun
Hongtao Cheng
Jeffrey Xu Yu
46
56
0
21 Nov 2023
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning
Hao Xu
Yifei Wang
Yunrui Li
Pengyu Hong
Pengyu Hong
33
3
0
11 Nov 2023
Defining a New NLP Playground
Defining a New NLP Playground
Sha Li
Chi Han
Pengfei Yu
Carl Edwards
Manling Li
...
Yi R. Fung
Charles Yu
Joel R. Tetreault
Eduard H. Hovy
Heng Ji
41
5
0
31 Oct 2023
Monte Carlo Thought Search: Large Language Model Querying for Complex
  Scientific Reasoning in Catalyst Design
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design
Henry W Sprueill
Carl Edwards
Mariefel V. Olarte
Udishnu Sanyal
Heng Ji
Sutanay Choudhury
LRM
34
10
0
22 Oct 2023
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and
  Uni-Modal Adapter
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
Zhiyuan Liu
Sihang Li
Yancheng Luo
Hao Fei
Yixin Cao
Kenji Kawaguchi
Xiang Wang
Tat-Seng Chua
38
81
0
19 Oct 2023
BioT5: Enriching Cross-modal Integration in Biology with Chemical
  Knowledge and Natural Language Associations
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
Qizhi Pei
Wei Zhang
Jinhua Zhu
Kehan Wu
Kaiyuan Gao
Lijun Wu
Yingce Xia
Rui Yan
36
62
0
11 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified
  Pre-training
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani
Parshin Shojaee
Chandan K. Reddy
A. Farimani
26
18
0
03 Oct 2023
Mining Patents with Large Language Models Elucidates the Chemical
  Function Landscape
Mining Patents with Large Language Models Elucidates the Chemical Function Landscape
Clayton W. Kosonocky
Claus O. Wilke
E. Marcotte
A. D. Ellington
39
3
0
15 Sep 2023
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with
  Graph, Image, and Text
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
Peng Liu
Yiming Ren
Jun Tao
Zhixiang Ren
AI4CE
33
79
0
14 Aug 2023
Extracting Molecular Properties from Natural Language with Multimodal
  Contrastive Learning
Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning
Romain Lacombe
Andrew Gaut
Jeff He
D. Lüdeke
Kateryna Pistunova
28
2
0
22 Jul 2023
Interactive Molecular Discovery with Natural Language
Interactive Molecular Discovery with Natural Language
Zheni Zeng
Bangchen Yin
Shipeng Wang
Jia-Rou Liu
Cheng Yang
Haishen Yao
Xingzhi Sun
Maosong Sun
Guotong Xie
Zhiyuan Liu
AI4CE
32
12
0
21 Jun 2023
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction
  and Drug Design
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design
Carl Edwards
Aakanksha Naik
Tushar Khot
Martin D. Burke
Heng Ji
Tom Hope
33
15
0
19 Jun 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and
  Crystalline Materials
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Shengchao Liu
Weitao Du
Yanjing Li
Zhuoxinran Li
Zhiling Zheng
...
Anima Anandkumar
C. Borgs
J. Chayes
Hongyu Guo
Jian Tang
AI4CE
38
20
0
15 Jun 2023
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for
  Large Language Models
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Yin Fang
Xiaozhuan Liang
Ningyu Zhang
Kangwei Liu
Rui Huang
Zhuo Chen
Xiaohui Fan
Huajun Chen
23
77
0
13 Jun 2023
Empowering Molecule Discovery for Molecule-Caption Translation with
  Large Language Models: A ChatGPT Perspective
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Jiatong Li
Yunqing Liu
Wenqi Fan
Xiao Wei
Hui Liu
Jiliang Tang
Qing Li
31
84
0
11 Jun 2023
MolFM: A Multimodal Molecular Foundation Model
MolFM: A Multimodal Molecular Foundation Model
Yi Luo
Kai Yang
Massimo Hong
Xingyi Liu
Zaiqing Nie
43
37
0
06 Jun 2023
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule
  Representations
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
Pengcheng Jiang
Cao Xiao
Tianfan Fu
Jimeng Sun
50
3
0
02 Jun 2023
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain
  Feedback
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback
Shengchao Liu
Jiong Wang
Yijin Yang
Chengpeng Wang
Ling Liu
Hongyu Guo
Chaowei Xiao
LM&MA
KELM
AI4MH
36
39
0
29 May 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule
  Zero-Shot Learning
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao
Shengchao Liu
Chang Ma
Hannan Xu
Jie Fu
Zhihong Deng
Lingpeng Kong
Qi Liu
31
61
0
28 May 2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training
MolXPT: Wrapping Molecules with Text for Generative Pre-training
Zequn Liu
Wei Zhang
Yingce Xia
Lijun Wu
Shufang Xie
Tao Qin
M. Zhang
Tie-Yan Liu
34
67
0
18 May 2023
Towards Unified AI Drug Discovery with Multiple Knowledge Modalities
Towards Unified AI Drug Discovery with Multiple Knowledge Modalities
Yi Luo
Xing Yi Liu
Kai Yang
Kui Huang
Massimo Hong
Jiahuan Zhang
Yushuai Wu
Zaiqing Nie
OffRL
45
4
0
17 Apr 2023
Computational modeling of semantic change
Computational modeling of semantic change
Nina Tahmasebi
Haim Dubossarsky
34
6
0
13 Apr 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
38
508
0
07 Mar 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
70
61
0
09 Feb 2023
Domain-Agnostic Molecular Generation with Chemical Feedback
Domain-Agnostic Molecular Generation with Chemical Feedback
Yin Fang
Ningyu Zhang
Zhuo Chen
Lingbing Guo
Xiaohui Fan
Huajun Chen
41
11
0
26 Jan 2023
Foundations and Trends in Multimodal Machine Learning: Principles,
  Challenges, and Open Questions
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
18
62
0
07 Sep 2022
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer
Yin Fang
Zhuo Chen
Xiaohui Fan
Qiang Zhang
51
3
0
17 Feb 2022
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
133
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 D. Burke
107
57
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
337
3,720
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
185
188
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
242
1,340
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
251
1,787
0
02 Mar 2017
Previous
12