Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2202.02989
Cited By
Graph Self-supervised Learning with Accurate Discrepancy Learning
7 February 2022
Dongki Kim
Jinheon Baek
Sung Ju Hwang
SSL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Graph Self-supervised Learning with Accurate Discrepancy Learning"
18 / 18 papers shown
Title
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
Liang Wang
Shaozhen Liu
Yu Rong
Deli Zhao
Qiang Liu
Shu Wu
Liang Wang
MedIm
68
2
0
22 Feb 2025
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
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Liang Wang
Qiang Liu
Shaozhen Liu
Xin Sun
Shu Wu
Liang Wang
39
2
0
02 Nov 2024
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
Wu Junran
Chen Xueyuan
Li Shangzhe
31
1
0
27 Oct 2024
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
Learning Molecular Representation in a Cell
Gang Liu
Srijit Seal
John Arevalo
Zhenwen Liang
Anne E Carpenter
Meng Jiang
Shantanu Singh
42
2
0
17 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Wenzhuo Tang
Haitao Mao
Danial Dervovic
Ivan Brugere
Saumitra Mishra
Yuying Xie
Jiliang Tang
50
3
0
04 Jun 2024
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
Minbo Ma
Jilin Hu
Christian S. Jensen
Fei Teng
Peng Han
Zhiqiang Xu
Tian-Jie Li
AI4TS
49
3
0
27 Dec 2023
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
Pengwei Yan
Kaisong Song
Zhuoren Jiang
Yangyang Kang
Tianqianjin Lin
Changlong Sun
Xiaozhong Liu
AI4CE
28
2
0
19 Dec 2023
Improving Self-supervised Molecular Representation Learning using Persistent Homology
Yuankai Luo
Lei Shi
Veronika Thost
SSL
34
8
0
29 Nov 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation
Kaiqi Yang
Haoyu Han
Wei-dong Jin
Hui Liu
33
3
0
20 Oct 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae
Gang Liu
Meng Jiang
AI4CE
45
14
0
08 Sep 2023
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
Sungjun Cho
Dae-Woong Jeong
Sung Moon Ko
Jinwoo Kim
Sehui Han
Seunghoon Hong
Honglak Lee
Moontae Lee
AI4CE
DiffM
35
1
0
08 Sep 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models
Yinghao Li
Lingkai Kong
Yuanqi Du
Yue Yu
Yuchen Zhuang
Wenhao Mu
Chao Zhang
29
9
0
14 Jun 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
Gang Liu
Eric Inae
Tong Zhao
Jiaxin Xu
Te Luo
Meng Jiang
DiffM
31
23
0
17 Mar 2023
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
Motif-Driven Contrastive Learning of Graph Representations
Shichang Zhang
Ziniu Hu
Arjun Subramonian
Yizhou Sun
SSL
22
8
0
23 Dec 2020
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
184
1,778
0
02 Mar 2017
1