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Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular
  Property Prediction

Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction

4 September 2023
Minghao Guo
Veronika Thost
Samuel W Song
A. Balachandran
Payel Das
Jie Chen
Wojciech Matusik
    AI4CE
ArXivPDFHTML

Papers citing "Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction"

5 / 5 papers shown
Title
Molecular Representation Learning via Heterogeneous Motif Graph Neural
  Networks
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Zhaoning Yu
Hongyang Gao
23
39
0
01 Feb 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,104
0
27 Apr 2021
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
W. Yu
John E. Herr
Olaf Wiest
Meng-Long Jiang
Nitesh V. Chawla
AI4CE
110
168
0
16 Feb 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,337
0
12 Feb 2018
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
247
3,236
0
24 Nov 2016
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