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Multi-task graph neural networks for simultaneous prediction of global
  and atomic properties in ferromagnetic systems

Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems

4 February 2022
Massimiliano Lupo Pasini
Pei Zhang
S. Reeve
Jong Youl Choi
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems"

6 / 6 papers shown
Title
Principal Neighbourhood Aggregation for Graph Nets
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lio
Petar Velickovic
GNN
140
677
0
12 Apr 2020
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
247
4,368
0
06 Mar 2019
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with
  Multitask Learning for Material Property Prediction
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Soumya Sanyal
J. Balachandran
N. Yadati
Abhishek Kumar
Padmini Rajagopalan
Suchismita Sanyal
Partha P. Talukdar
60
49
0
14 Nov 2018
Overcoming data scarcity with transfer learning
Overcoming data scarcity with transfer learning
Maxwell Hutchinson
Erin Antono
Brenna M. Gibbons
S. Paradiso
Julia Ling
B. Meredig
59
83
0
02 Nov 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
516
15,369
0
07 Jun 2017
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
365
7,681
0
30 Jun 2016
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