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Improving Self-supervised Molecular Representation Learning using
  Persistent Homology

Improving Self-supervised Molecular Representation Learning using Persistent Homology

29 November 2023
Yuankai Luo
Lei Shi
Veronika Thost
    SSL
ArXivPDFHTML

Papers citing "Improving Self-supervised Molecular Representation Learning using Persistent Homology"

15 / 15 papers shown
Title
Topology-Aware CLIP Few-Shot Learning
Topology-Aware CLIP Few-Shot Learning
Dazhi Huang
VLM
21
0
0
03 May 2025
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
62
0
0
13 Feb 2025
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
Jingjing Hu
D. Guo
Zhan Si
Deguang Liu
Yunfeng Diao
J. Zhang
Jinxing Zhou
Meng Wang
Mamba
94
1
0
21 Dec 2024
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
I. Trofimov
Daria Voronkova
Eduard Tulchinskii
Evgeny Burnaev
Serguei Barannikov
22
0
0
11 Jul 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node
  Classification
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
Yuankai Luo
Lei Shi
Xiao-Ming Wu
21
1
0
13 Jun 2024
Enhancing Graph Transformers with Hierarchical Distance Structural
  Encoding
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
Yuan Luo
Hongkang Li
Lei Shi
Xiao-Ming Wu
17
4
0
22 Aug 2023
Probing Graph Representations
Probing Graph Representations
Mohammad Sadegh Akhondzadeh
Vijay Lingam
Aleksandar Bojchevski
26
10
0
07 Mar 2023
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
46
50
0
29 Oct 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation
  and Decomposed Fragment Contrast
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
Yuyang Wang
Rishikesh Magar
Chen Liang
A. Farimani
35
78
0
18 Feb 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
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
107
163
0
02 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
183
382
0
29 Apr 2021
A Primer on Contrastive Pretraining in Language Processing: Methods,
  Lessons Learned and Perspectives
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Nils Rethmeier
Isabelle Augenstein
SSL
VLM
47
82
0
25 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
154
1,748
0
02 Mar 2017
Statistical topological data analysis using persistence landscapes
Statistical topological data analysis using persistence landscapes
Peter Bubenik
94
842
0
27 Jul 2012
1