Dirichlet Energy Enhancement of Graph Neural Networks by Framelet
Augmentation

Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation

9 November 2023

Cristian Bodnar

Papers citing "Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation"

12 / 12 papers shown

Title
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions Christian Nauck R. Gorantla M. Lindner Konstantin Schurholt Antonia S. J. S. Mey Frank Hellmann AI4CE 32 2 0 17 Jul 2024
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 8 14 0 19 Jul 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 21 4 0 13 Jul 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 22 1 0 25 May 2023
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 6 0 0 27 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 64 13 0 08 Oct 2022
How Framelets Enhance Graph Neural Networks Xuebin Zheng Bingxin Zhou Junbin Gao Yu Guang Wang Pietro Lió Ming Li Guido Montúfar 48 69 0 13 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 84 554 0 04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 828 0 28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 226 1,726 0 09 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016