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Chemistry Inspired Molecular Representation for Property Prediction
Mapping Intimacies
◽
10.1145/3493700.3493746
◽
2022
◽
Author(s):
Guna Sekhar Gedela
◽
Joe Bobby
◽
Nirav Bhatt
Keyword(s):
Property Prediction
Download Full-text
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References
Global Property Prediction: A Benchmark Study on Open-Source, Perovskite-like Datasets
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10.1021/acsomega.1c00991
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2021
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Author(s):
Felix Mayr
◽
Alessio Gagliardi
Keyword(s):
Open Source
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Global Property
◽
Property Prediction
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Benchmark Study
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Performance property prediction supporting variability for adaptive mobile systems
Proceedings of the 15th International Software Product Line Conference on - SPLC '11
◽
10.1145/2019136.2019178
◽
2011
◽
Author(s):
Gunnar Brataas
◽
Shanshan Jiang
◽
Roland Reichle
◽
Kurt Geihs
Keyword(s):
Mobile Systems
◽
Performance Property
◽
Property Prediction
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Scale-Aware Graph-Based Machine Learning for Accurate Molecular Property Prediction
2020 IEEE International Conference on Big Data (Big Data)
◽
10.1109/bigdata50022.2020.9377905
◽
2020
◽
Author(s):
Gyoung S. Na
◽
Hyun Woo Kim
◽
Hyunju Chang
Keyword(s):
Machine Learning
◽
Molecular Property
◽
Property Prediction
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Improving the optimization efficiency and precision of least squares support vector regression (LSSVR) for pear property prediction
10.1117/12.865737
◽
2010
◽
Cited By ~ 1
Author(s):
Yong Hao
◽
Yande Liu
◽
Hailiang Zhang
◽
Xuemei Liu
◽
Yuanyuan Pan
Keyword(s):
Least Squares
◽
Support Vector Regression
◽
Support Vector
◽
Property Prediction
◽
Optimization Efficiency
Download Full-text
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
◽
10.1145/3394486.3403117
◽
2020
◽
Author(s):
Zhongkai Hao
◽
Chengqiang Lu
◽
Zhenya Huang
◽
Hao Wang
◽
Zheyuan Hu
◽
...
Keyword(s):
Neural Network
◽
Molecular Property
◽
Property Prediction
Download Full-text
Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials
2020 28th European Signal Processing Conference (EUSIPCO)
◽
10.23919/eusipco47968.2020.9287617
◽
2021
◽
Author(s):
Zois Boukouvalas
◽
Monica Puerto
◽
Daniel C. Elton
◽
Peter W. Chung
◽
Mark D. Fuge
Keyword(s):
Data Fusion
◽
Knowledge Discovery
◽
Energetic Materials
◽
Molecular Data
◽
Vector Analysis
◽
Independent Vector
◽
Property Prediction
◽
Independent Vector Analysis
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A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction
Proceedings of the Genetic and Evolutionary Computation Conference
◽
10.1145/3449639.3459370
◽
2021
◽
Author(s):
Yingfang Yuan
◽
Wenjun Wang
◽
Wei Pang
Keyword(s):
Neural Networks
◽
Molecular Property
◽
Comparison Study
◽
Property Prediction
◽
Systematic Comparison
◽
Graph Neural Networks
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Materials property prediction using symmetry-labeled graphs as atomic position independent descriptors
Physical Review B
◽
10.1103/physrevb.100.104114
◽
2019
◽
Vol 100
(10)
◽
Cited By ~ 2
Author(s):
Peter Bjørn Jørgensen
◽
Estefanía Garijo del Río
◽
Mikkel N. Schmidt
◽
Karsten Wedel Jacobsen
Keyword(s):
Atomic Position
◽
Property Prediction
◽
Labeled Graphs
Download Full-text
Property prediction by correlations based on similarity of molecular structures
AIChE Journal
◽
10.1002/aic.10248
◽
2004
◽
Vol 50
(10)
◽
pp. 2481-2492
◽
Cited By ~ 18
Author(s):
Mordechai Shacham
◽
Neima Brauner
◽
Georgi Cholakov
◽
Roumiana P. Stateva
Keyword(s):
Molecular Structures
◽
Property Prediction
Download Full-text
Real-time property prediction for an industrial rubber-mixing process with probabilistic ensemble Gaussian process regression models
Journal of Applied Polymer Science
◽
10.1002/app.41432
◽
2014
◽
Vol 132
(6)
◽
pp. n/a-n/a
◽
Cited By ~ 11
Author(s):
Yi Liu
◽
Zengliang Gao
Keyword(s):
Gaussian Process
◽
Real Time
◽
Regression Models
◽
Gaussian Process Regression
◽
Mixing Process
◽
Property Prediction
◽
Time Property
◽
Industrial Rubber
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