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Motif-based Graph Self-Supervised Learning for Molecular Property
  Prediction

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

3 October 2021
Zaixin Zhang
Qi Liu
Hao Wang
Chengqiang Lu
Chee-Kong Lee
    SSL
    AI4CE
ArXivPDFHTML

Papers citing "Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"

25 / 125 papers shown
Title
Improving Molecular Pretraining with Complementary Featurizations
Improving Molecular Pretraining with Complementary Featurizations
Yanqiao Zhu
Dingshuo Chen
Yuanqi Du
Yingze Wang
Qiang Liu
Shu Wu
AI4CE
44
7
0
29 Sep 2022
Model Inversion Attacks against Graph Neural Networks
Model Inversion Attacks against Graph Neural Networks
Zaixin Zhang
Qi Liu
Zhenya Huang
Hao Wang
Cheekong Lee
Enhong
AAML
23
35
0
16 Sep 2022
Graph Neural Networks for Molecules
Graph Neural Networks for Molecules
Yuyang Wang
Zijie Li
A. Farimani
GNN
AI4CE
52
20
0
12 Sep 2022
Can Pre-trained Models Really Learn Better Molecular Representations for
  AI-aided Drug Discovery?
Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery?
Ziqiao Zhang
Yatao Bian
Ailin Xie
Peng Han
Long-Kai Huang
Shuigeng Zhou
32
5
0
21 Aug 2022
Motif-based Graph Representation Learning with Application to Chemical
  Molecules
Motif-based Graph Representation Learning with Application to Chemical Molecules
Yifei Wang
Shiyang Chen
Guobin Chen
Ethan Shurberg
Hang Liu
Pengyu Hong
GNN
33
14
0
09 Aug 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and
  Applications
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Xingbo Fu
Binchi Zhang
Yushun Dong
Chen Chen
Jundong Li
FedML
OOD
AI4CE
38
35
0
24 Jul 2022
Graph-based Molecular Representation Learning
Graph-based Molecular Representation Learning
Zhichun Guo
Kehan Guo
B. Nan
Yijun Tian
Roshni G. Iyer
...
Olaf Wiest
Xiangliang Zhang
Wei Wang
Chuxu Zhang
Nitesh V. Chawla
AI4CE
27
60
0
08 Jul 2022
Pre-training Transformers for Molecular Property Prediction Using
  Reaction Prediction
Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction
J. Broberg
Maria Bånkestad
Erik Ylipää
AI4CE
21
5
0
06 Jul 2022
CoSP: Co-supervised pretraining of pocket and ligand
CoSP: Co-supervised pretraining of pocket and ligand
Zhangyang Gao
Cheng Tan
Lirong Wu
Stan Z. Li
29
19
0
23 Jun 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph
  Representation Learning
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Ling Yang
linda Qiao
51
12
0
31 May 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property
  Prediction
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Kuangqi Zhou
Kaixin Wang
Jiashi Feng
Jian Tang
Tingyang Xu
Xinchao Wang
29
1
0
23 May 2022
Crystal Twins: Self-supervised Learning for Crystalline Material
  Property Prediction
Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction
Rishikesh Magar
Yuyang Wang
Amir Barati Farimani
35
57
0
04 May 2022
Attention-wise masked graph contrastive learning for predicting
  molecular property
Attention-wise masked graph contrastive learning for predicting molecular property
Hui Liu
Yibiao Huang
Xuejun Liu
L. Deng
25
33
0
02 May 2022
BSAL: A Framework of Bi-component Structure and Attribute Learning for
  Link Prediction
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
Bisheng Li
Min Zhou
Shengzhong Zhang
Menglin Yang
Defu Lian
Zengfeng Huang
34
11
0
18 Apr 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
48
78
0
18 Feb 2022
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer
Yin Fang
Zhuo Chen
Xiaohui Fan
Qiang Zhang
51
3
0
17 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
0
16 Feb 2022
ProtGNN: Towards Self-Explaining Graph Neural Networks
ProtGNN: Towards Self-Explaining Graph Neural Networks
Zaixin Zhang
Qi Liu
Hao Wang
Chengqiang Lu
Chee-Kong Lee
25
128
0
02 Dec 2021
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Fang Wu
Dragomir R. Radev
Huabin Xing
ViT
36
54
0
04 Oct 2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph
  Convolutional Networks
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
Feng Sun
Ajith Kumar
Guanci Yang
Qikui Zhu
Yiyun Zhang
Ansi Zhang
Dhruv Makwana
SSL
GNN
36
0
0
17 Aug 2021
Property-Aware Relation Networks for Few-Shot Molecular Property
  Prediction
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang
Abulikemu Abuduweili
Quanming Yao
Dejing Dou
42
68
0
16 Jul 2021
Large-Scale Chemical Language Representations Capture Molecular
  Structure and Properties
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
Jerret Ross
Brian M. Belgodere
Vijil Chenthamarakshan
Inkit Padhi
Youssef Mroueh
Payel Das
AI4CE
27
274
0
17 Jun 2021
Motif-Driven Contrastive Learning of Graph Representations
Motif-Driven Contrastive Learning of Graph Representations
Shichang Zhang
Ziniu Hu
Arjun Subramonian
Yizhou Sun
SSL
30
8
0
23 Dec 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
242
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
251
1,787
0
02 Mar 2017
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