DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling

7 June 2020

Papers citing "DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling"

7 / 7 papers shown

Title
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks Moshe Eliasof Nir Ben Zikri Eran Treister SSL GNN 25 3 0 21 Oct 2022
Multigrid-augmented deep learning preconditioners for the Helmholtz equation Yael Azulay Eran Treister AI4CE 22 30 0 14 Mar 2022
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 35 7 0 10 Oct 2021
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations Ido Ben-Yair Gil Ben Shalom Moshe Eliasof Eran Treister MQ 36 5 0 31 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 39 123 0 04 Aug 2021
HodgeNet: Learning Spectral Geometry on Triangle Meshes Dmitriy Smirnov Justin Solomon 33 25 0 26 Apr 2021
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 260 1,812 0 25 Nov 2016