CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction

7 September 2024

Papers citing "CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction"

10 / 10 papers shown

Title
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials Kishalay Das Bidisha Samanta Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 48 17 0 14 Jan 2023
Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction Rishikesh Magar Yuyang Wang Amir Barati Farimani 67 58 0 04 May 2022
3D Infomax improves GNNs for Molecular Property Prediction Hannes Stärk Dominique Beaini Gabriele Corso Prudencio Tossou Christian Dallago Stephan Günnemann Pietro Lio AI4CE 80 208 0 08 Oct 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
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 944 0 11 May 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 344 2,362 0 04 Mar 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,072 0 20 Nov 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,859 0 13 Feb 2020
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 116 1,415 0 29 May 2019
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 680 31,538 0 16 Jan 2013