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On the Trade-off between Over-smoothing and Over-squashing in Deep Graph
  Neural Networks

On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks

5 December 2022
Jhony H. Giraldo
Konstantinos Skianis
T. Bouwmans
Fragkiskos D. Malliaros
ArXivPDFHTML

Papers citing "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks"

7 / 7 papers shown
Title
When Graph Neural Networks Meet Dynamic Mode Decomposition
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
23
0
0
08 Oct 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
31
0
0
13 Aug 2024
Revisiting Random Walks for Learning on Graphs
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim
Olga Zaghen
Ayhan Suleymanzade
Youngmin Ryou
Seunghoon Hong
51
0
0
01 Jul 2024
Asynchronous Graph Generator
Asynchronous Graph Generator
Christopher P. Ley
Felipe Tobar
AI4TS
35
0
0
29 Sep 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural
  Network for Spatio-temporal Forecasting
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting
G. Liang
Prayag Tiwari
Sławomir Nowaczyk
Stefan Byttner
F. Alonso-Fernandez
DiffM
12
11
0
16 May 2023
Geom-GCN: Geometric Graph Convolutional Networks
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
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
828
0
28 Sep 2019
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