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Structured Multi-task Learning for Molecular Property Prediction

Structured Multi-task Learning for Molecular Property Prediction

22 February 2022
Shengchao Liu
Meng Qu
Zuobai Zhang
Huiyu Cai
Jian Tang
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Papers citing "Structured Multi-task Learning for Molecular Property Prediction"

13 / 13 papers shown
Title
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Hong Xin Xie
Jian De Sun
Fan Fu Xue
Zi Fei Han
S. Feng
Qi Chen
53
0
0
01 May 2025
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction
Robert Appleton
Brian C Barnes
Alejandro Strachan
FedML
AI4CE
37
0
0
09 Apr 2025
Geometrically Aligned Transfer Encoder for Inductive Transfer in
  Regression Tasks
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
Sung Moon Ko
Sumin Lee
Dae-Woong Jeong
Woohyung Lim
Sehui Han
18
3
0
10 Oct 2023
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising
  and Cross-Modal Distillation
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
Learning to Group Auxiliary Datasets for Molecule
Learning to Group Auxiliary Datasets for Molecule
Ting Huang
Ziniu Hu
Rex Ying
11
0
0
08 Jul 2023
Multi-Task Learning with Loop Specific Attention for CDR Structure
  Prediction
Multi-Task Learning with Loop Specific Attention for CDR Structure Prediction
Eleni Giovanoudi
Dimitrios Rafailidis
16
1
0
22 Jun 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and
  Crystalline Materials
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Shengchao Liu
Weitao Du
Yanjing Li
Zhuoxinran Li
Zhiling Zheng
...
Anima Anandkumar
C. Borgs
J. Chayes
Hongyu Guo
Jian Tang
AI4CE
33
20
0
15 Jun 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
24
8
0
16 Feb 2023
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
70
61
0
09 Feb 2023
Improving Domain Generalization with Domain Relations
Improving Domain Generalization with Domain Relations
Huaxiu Yao
Xinyu Yang
Xinyi Pan
Shengchao Liu
Pang Wei Koh
Chelsea Finn
OOD
AI4CE
52
8
0
06 Feb 2023
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
126
302
0
07 Oct 2021
Attentive Walk-Aggregating Graph Neural Networks
Attentive Walk-Aggregating Graph Neural Networks
M. F. Demirel
Shengchao Liu
Siddhant Garg
Zhenmei Shi
Yingyu Liang
92
10
0
06 Oct 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
219
1,780
0
02 Mar 2017
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