Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding

28 October 2023

Papers citing "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding"

12 / 12 papers shown

Title
ELECTRA: A Symmetry-breaking Cartesian Network for Charge Density Prediction with Floating Orbitals Jonas Elsborg Luca Thiede Alán Aspuru-Guzik T. Vegge Arghya Bhowmik 36 0 0 11 Mar 2025
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 65 1 0 03 Mar 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally X. Wang Muhan Zhang 102 0 0 04 Feb 2025
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos Giorgos Bouritsas Yannis Panagakis 39 6 0 15 Jun 2024
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency Yuchao Lin Jacob Helwig Shurui Gui Shuiwang Ji 29 7 0 11 Jun 2024
Baking Symmetry into GFlowNets George Ma Emmanuel Bengio Yoshua Bengio Dinghuai Zhang 29 8 0 08 Jun 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks Bohang Zhang Lingxiao Zhao Haggai Maron 29 8 0 06 Jun 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 22 7 0 04 Apr 2024
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 42 32 0 29 Jun 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 179 304 0 15 Oct 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 178 907 0 02 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 182 731 0 03 Sep 2019