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Motif-aware Attribute Masking for Molecular Graph Pre-training

Motif-aware Attribute Masking for Molecular Graph Pre-training

8 September 2023
Eric Inae
Gang Liu
Meng-Long Jiang
    AI4CE
ArXivPDFHTML

Papers citing "Motif-aware Attribute Masking for Molecular Graph Pre-training"

13 / 13 papers shown
Title
Equivariant Masked Position Prediction for Efficient Molecular Representation
Equivariant Masked Position Prediction for Efficient Molecular Representation
Junyi An
C. Qu
Yun-Fei Shi
XinHao Liu
Qianwei Tang
Fenglei Cao
Yuan Qi
40
0
0
12 Feb 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Yongjun Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
153
0
0
03 Jan 2025
Pre-training Graph Neural Networks on Molecules by Using
  Subgraph-Conditioned Graph Information Bottleneck
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang
O-Joun Lee
AI4CE
80
1
0
20 Dec 2024
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
Molecular Graph Representation Learning via Structural Similarity
  Information
Molecular Graph Representation Learning via Structural Similarity Information
Chengyu Yao
Hong Huang
Hang Gao
Fengge Wu
Haiming Chen
Junsuo Zhao
26
0
0
13 Sep 2024
TDNetGen: Empowering Complex Network Resilience Prediction with
  Generative Augmentation of Topology and Dynamics
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics
Chang Liu
Jingtao Ding
Yiwen Song
Yong Li
AI4CE
31
3
0
19 Aug 2024
HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment
HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment
Yongqiang Chen
Quanming Yao
Juzheng Zhang
James Cheng
Yatao Bian
35
4
0
20 Jun 2024
Learning Molecular Representation in a Cell
Learning Molecular Representation in a Cell
Gang Liu
Srijit Seal
John Arevalo
Zhenwen Liang
Anne E Carpenter
Meng-Long Jiang
Shantanu Singh
42
2
0
17 Jun 2024
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Tom Wollschlager
Niklas Kemper
Leon Hetzel
Johanna Sommer
Stephan Günnemann
48
4
0
12 Jun 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Chuang Liu
Yuyao Wang
Yibing Zhan
Xueqi Ma
Dapeng Tao
Jia Wu
Wenbin Hu
51
4
0
24 Apr 2024
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
Gang Liu
Eric Inae
Tong Zhao
Jiaxin Xu
Te Luo
Meng-Long Jiang
DiffM
31
23
0
17 Mar 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 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
172
1,778
0
02 Mar 2017
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