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2212.02374
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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
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Papers citing
"On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks"
11 / 11 papers shown
Title
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou S. Sangare
Nicolas Dunou
Jhony H. Giraldo
Fragkiskos D. Malliaros
SSL
64
0
0
28 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
70
1
0
11 Feb 2025
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
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
42
0
0
13 Aug 2024
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim
Olga Zaghen
Ayhan Suleymanzade
Youngmin Ryou
Seunghoon Hong
59
0
0
01 Jul 2024
UniIF: Unified Molecule Inverse Folding
Zhangyang Gao
Jue Wang
Cheng Tan
Lirong Wu
Yufei Huang
Siyuan Li
Zhirui Ye
Stan Z. Li
37
4
0
29 May 2024
Continuous Product Graph Neural Networks
Aref Einizade
Fragkiskos D. Malliaros
Jhony H. Giraldo
34
1
0
29 May 2024
Asynchronous Graph Generator
Christopher P. Ley
Felipe Tobar
AI4TS
43
0
0
29 Sep 2023
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
39
12
0
16 May 2023
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
836
0
28 Sep 2019
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