From Local to Global: Spectral-Inspired Graph Neural Networks

From Local to Global: Spectral-Inspired Graph Neural Networks

24 September 2022

Carey E. Priebe

Vladimir Braverman

Papers citing "From Local to Global: Spectral-Inspired Graph Neural Networks"

10 / 10 papers shown

Title
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 41 1 0 20 May 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 12 4 0 06 Mar 2024
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 14 16 0 06 Mar 2023
Not too little, not too much: a theoretical analysis of graph (over)smoothing Nicolas Keriven 15 88 0 24 May 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
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 117 78 0 01 Oct 2021
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 159 170 0 09 Mar 2020
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 139 828 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 217 1,726 0 09 Jun 2018