Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems

15 June 2022

Papers citing "Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems"

7 / 7 papers shown

Title
Complete and Efficient Graph Transformers for Crystal Material Property Prediction Keqiang Yan Cong Fu Xiaofeng Qian Xiaoning Qian Shuiwang Ji 58 20 0 18 Mar 2024
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 31 24 0 01 Jun 2023
A Score-Based Model for Learning Neural Wavefunctions Xuan Zhang Shenglong Xu Shuiwang Ji DiffM 36 1 0 25 May 2023
A Latent Diffusion Model for Protein Structure Generation Cong Fu Keqiang Yan Limei Wang Wing Yee Au Michael McThrow Tao Komikado Koji Maruhashi Kanji Uchino Xiaoning Qian Shuiwang Ji DiffM 31 31 0 06 May 2023
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs Limei Wang Yi Liu Yu-Ching Lin Hao Liu Shuiwang Ji GNN 52 89 0 17 Jun 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 53 54 0 14 Dec 2021
Learning ground states of quantum Hamiltonians with graph networks Dmitrii Kochkov Tobias Pfaff Alvaro Sanchez-Gonzalez Peter W. Battaglia B. Clark 44 26 0 12 Oct 2021