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Chemi-net: a graph convolutional network for accurate drug property
  prediction

Chemi-net: a graph convolutional network for accurate drug property prediction

16 March 2018
Ke Liu
Xiangyan Sun
Lei Jia
Jun Ma
Haoming Xing
Junqiu Wu
Hua Gao
Yax Sun
Florian Boulnois
Jie Fan
    MedIm
    GNN
ArXivPDFHTML

Papers citing "Chemi-net: a graph convolutional network for accurate drug property prediction"

7 / 7 papers shown
Title
Predicting Molecule-Target Interaction by Learning Biomedical Network
  and Molecule Representations
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations
Jinjiang Guo
Jie Li
27
0
0
02 Feb 2023
Scalable algorithms for physics-informed neural and graph networks
Scalable algorithms for physics-informed neural and graph networks
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINN
AI4CE
75
40
0
16 May 2022
Ligandformer: A Graph Neural Network for Predicting Compound Property
  with Robust Interpretation
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation
Jinjiang Guo
Qi Liu
Han Guo
Xi Lu
AI4CE
24
3
0
21 Feb 2022
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
48
289
0
26 Jul 2021
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
Wenhao Yu
John E. Herr
Olaf Wiest
Meng Jiang
Nitesh Chawla
AI4CE
119
171
0
16 Feb 2021
Understanding graph embedding methods and their applications
Understanding graph embedding methods and their applications
Mengjia Xu
26
129
0
15 Dec 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory
  Prediction
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu
Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
26
459
0
18 May 2020
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