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

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

14 January 2022

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

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Title
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction Junchi Liu Ying Tang Sergei Tretiak Wenhui Duan Liujiang Zhou 171 0 0 01 May 2025
Scalable deeper graph neural networks for high-performance materials property prediction Sadman Sadeed Omee Steph-Yves M. Louis Nihang Fu Lai Wei Sourin Dey Rongzhi Dong Qinyang Li Jianjun Hu 121 76 0 25 Sep 2021
Distributed Representations of Atoms and Materials for Machine Learning Luis M. Antunes R. Grau‐Crespo K. Butler AI4CE 32 27 0 30 Jul 2021
Materials Representation and Transfer Learning for Multi-Property Prediction Shufeng Kong D. Guevarra Carla P. Gomes J. Gregoire AI4CE 42 44 0 04 Jun 2021
Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints A. Ihalage Yang Hao 27 25 0 25 May 2021
OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features Zhuoran Qiao Matthew Welborn Anima Anandkumar F. Manby Thomas F. Miller AI4CE 84 218 0 15 Jul 2020
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry Rhys E. A. Goodall A. Lee 48 260 0 01 Oct 2019