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

no code implementations • 15 Jun 2022 • Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji

Based on the proposed lattice convolutions, we design lattice convolutional networks (LCN) that use self-gating and attention mechanisms.

A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Link Rewiring

no code implementations • 1 Jan 2021 • Gege Zhang, Gangwei Li, Weining Shen, Huixin Zhang, Weidong Zhang

Expressivity plays a fundamental role in evaluating deep neural networks, and it is closely related to understanding the limit of performance improvement.

Clustering Node Classification

Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds

no code implementations • 27 Nov 2020 • Guangming Wang, Yehui Yang, Huixin Zhang, Zhe Liu, Hesheng Wang

In this paper, a spherical interpolated convolution operator is proposed to replace the traditional grid-shaped 3D convolution operator.

3D Semantic Segmentation Feature Correlation