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Fragment-based Pretraining and Finetuning on Molecular Graphs

Fragment-based Pretraining and Finetuning on Molecular Graphs

5 October 2023
Kha-Dinh Luong
Ambuj Singh
    AI4CE
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Papers citing "Fragment-based Pretraining and Finetuning on Molecular Graphs"

6 / 6 papers shown
Title
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
46
0
0
07 Nov 2024
A Systematic Survey of Chemical Pre-trained Models
A Systematic Survey of Chemical Pre-trained Models
Jun-Xiong Xia
Yanqiao Zhu
Yuanqi Du
Stan Z.Li
AI4CE
54
51
0
29 Oct 2022
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
197
309
0
15 Oct 2021
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
126
302
0
07 Oct 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
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
187
1,778
0
02 Mar 2017
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