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Structure to Property: Chemical Element Embeddings and a Deep Learning
  Approach for Accurate Prediction of Chemical Properties

Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties

17 September 2023
S. Shermukhamedov
Dilorom Mamurjonova
Michael Probst
ArXivPDFHTML

Papers citing "Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties"

11 / 11 papers shown
Title
Accurate Learning of Graph Representations with Graph Multiset Pooling
Accurate Learning of Graph Representations with Graph Multiset Pooling
Jinheon Baek
Minki Kang
Sung Ju Hwang
51
175
0
23 Feb 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
143
173
0
16 Feb 2021
Molecular representation learning with language models and
  domain-relevant auxiliary tasks
Molecular representation learning with language models and domain-relevant auxiliary tasks
Benedek Fabian
T. Edlich
H. Gaspar
Marwin H. S. Segler
Joshua Meyers
Marco Fiscato
Mohamed Ahmed
56
127
0
26 Nov 2020
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for
  Molecular Structures
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures
Shuo-feng Zhang
Yang Liu
Lei Xie
GNN
44
60
0
15 Nov 2020
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule
  Properties
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties
Zeren Shui
George Karypis
39
62
0
26 Sep 2020
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for
  Predicting Chemical Properties
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Garrett B. Goh
Nathan Oken Hodas
Charles Siegel
Abhinav Vishnu
39
141
0
06 Dec 2017
Machine learning modeling of superconducting critical temperature
Machine learning modeling of superconducting critical temperature
V. Stanev
C. Oses
A. Kusne
Efrain Rodriguez
J. Paglione
S. Curtarolo
Ichiro Takeuchi
31
370
0
08 Sep 2017
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
127
1,069
0
26 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
526
129,831
0
12 Jun 2017
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
307
1,808
0
02 Mar 2017
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
595
31,406
0
16 Jan 2013
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