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GeomGCL: Geometric Graph Contrastive Learning for Molecular Property
  Prediction

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

24 September 2021
Shuangli Li
Jingbo Zhou
Tong Bill Xu
Dejing Dou
Hui Xiong
    AI4CE
ArXivPDFHTML

Papers citing "GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction"

13 / 13 papers shown
Title
Structure-preserving contrastive learning for spatial time series
Structure-preserving contrastive learning for spatial time series
Yiru Jiao
S. Cranenburgh
Simeon C. Calvert
H. Lint
AI4TS
87
0
0
10 Feb 2025
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
Shikun Feng
Yuyan Ni
Yan Lu
Zhi-Ming Ma
Wei-Ying Ma
Yanyan Lan
36
5
0
14 Oct 2024
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
Piotr Gaiñski
Michał Koziarski
Krzysztof Maziarz
Marwin H. S. Segler
Jacek Tabor
Marek Śmieja
44
3
0
26 Jun 2024
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot
  Molecular Property Prediction
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
Zeyu Wang
Tianyi Jiang
Yao Lu
Xiaoze Bao
Shanqing Yu
Bin Wei
Qi Xuan
30
1
0
24 May 2024
Identifying Semantic Component for Robust Molecular Property Prediction
Identifying Semantic Component for Robust Molecular Property Prediction
Zijian Li
Zunhong Xu
Ruichu Cai
Zhenhui Yang
Yuguang Yan
Zhifeng Hao
Guan-Hong Chen
Kun Zhang
18
9
0
08 Nov 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
Uncovering Neural Scaling Laws in Molecular Representation Learning
Dingshuo Chen
Yanqiao Zhu
Jieyu Zhang
Yuanqi Du
Zhixun Li
Qiang Liu
Shu Wu
Liang Wang
26
16
0
15 Sep 2023
Fractional Denoising for 3D Molecular Pre-training
Fractional Denoising for 3D Molecular Pre-training
Shi Feng
Yuyan Ni
Yanyan Lan
Zhiming Ma
Wei-Ying Ma
DiffM
AI4CE
38
25
0
20 Jul 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
29
141
0
11 Apr 2023
SELFormer: Molecular Representation Learning via SELFIES Language Models
SELFormer: Molecular Representation Learning via SELFIES Language Models
Atakan Yüksel
Erva Ulusoy
Atabey Ünlü
Tunca Dogan
25
54
0
10 Apr 2023
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular
  Property Prediction
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction
Christopher Fifty
Joseph M. Paggi
Ehsan Amid
J. Leskovec
R. Dror
AI4CE
18
0
0
04 Feb 2023
Molecular Joint Representation Learning via Multi-modal Information
Molecular Joint Representation Learning via Multi-modal Information
Tianyu Wu
Yang Tang
Qiyu Sun
Luolin Xiong
11
14
0
25 Nov 2022
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
162
1,775
0
02 Mar 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
238
3,234
0
24 Nov 2016
1