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2201.05649
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Formula graph self-attention network for representation-domain
independent materials discovery

v1v2 (latest)

Formula graph self-attention network for representation-domain independent materials discovery

Advancement of science (AS), 2022

14 January 2022

ArXiv (abs)PDF HTML Github

Papers citing "Formula graph self-attention network for representation-domain independent materials discovery"

5 / 5 papers shown

SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction

SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction

725

3

0

01 May 2025

DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules

DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and moleculesnpj Computational Materials (npj Comput. Mater.), 2024

293

30

0

08 Jan 2025

Transfer Learning for Deep Learning-based Prediction of Lattice Thermal
Conductivity

Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivity

158

1

0

27 Nov 2024

Materials Informatics Transformer: A Language Model for Interpretable
Materials Properties Prediction

Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction

Rishikesh Magar

221

13

0

30 Aug 2023

Crystal Twins: Self-supervised Learning for Crystalline Material
Property Prediction

Crystal Twins: Self-supervised Learning for Crystalline Material Property Predictionnpj Computational Materials (npj Comput. Mater.), 2022

Rishikesh Magar

Amir Barati Farimani

205

80

0

04 May 2022

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