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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

14 August 2023
Peng Liu
Yiming Ren
Jun Tao
Zhixiang Ren
    AI4CE
ArXivPDFHTML

Papers citing "GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text"

17 / 17 papers shown
Title
Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM
Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM
Collin Beaudoin
Swaroop Ghosh
26
0
0
29 Apr 2025
An Enhanced Large Language Model For Cross Modal Query Understanding System Using DL-KeyBERT Based CAZSSCL-MPGPT
An Enhanced Large Language Model For Cross Modal Query Understanding System Using DL-KeyBERT Based CAZSSCL-MPGPT
Shreya Singh
31
0
0
24 Feb 2025
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
Reza Moravej
Saurabh Bodhe
Zhanguang Zhang
Didier Chetelat
Dimitrios Tsaras
Yingxue Zhang
Hui-Ling Zhen
Jianye Hao
M. Yuan
45
1
0
17 Feb 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Xin He
Y. Wang
Wenqi Fan
Xu Shen
Xin Juan
Rui Miao
Xin Wang
57
0
0
26 Jan 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
AI4CE
LM&MA
VLM
93
16
0
17 Jan 2025
Exploring Hierarchical Molecular Graph Representation in Multimodal LLMs
Exploring Hierarchical Molecular Graph Representation in Multimodal LLMs
Chengxin Hu
Hao Li
Yihe Yuan
Jing Li
Ivor Tsang
34
0
0
07 Nov 2024
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
Xin Sky Li
Qizhi Chu
Y. Chen
Yang Liu
Yaoqi Liu
Zekai Yu
Weize Chen
Chen Qian
C. Shi
Cheng Yang
LLMAG
48
2
0
23 Oct 2024
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao
Shen Nie
Kaiwen Xue
Chongxuan Li
Shiliang Pu
Yaole Wang
Gang Yue
Yue Cao
Hang Su
Jun Zhu
DiffM
188
147
0
12 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Bing-Huang Su
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
35
84
0
12 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
208
800
0
02 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
313
8,261
0
28 Jan 2022
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
106
294
0
07 Oct 2021
From Show to Tell: A Survey on Deep Learning-based Image Captioning
From Show to Tell: A Survey on Deep Learning-based Image Captioning
Matteo Stefanini
Marcella Cornia
Lorenzo Baraldi
S. Cascianelli
G. Fiameni
Rita Cucchiara
3DV
VLM
MLLM
51
244
0
14 Jul 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 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
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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