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DRew: Dynamically Rewired Message Passing with Delay

DRew: Dynamically Rewired Message Passing with Delay

13 May 2023
Benjamin Gutteridge
Xiaowen Dong
Michael M. Bronstein
Francesco Di Giovanni
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Papers citing "DRew: Dynamically Rewired Message Passing with Delay"

13 / 13 papers shown
Title
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
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
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
42
0
0
13 Aug 2024
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
48
0
0
26 Jul 2024
Next Level Message-Passing with Hierarchical Support Graphs
Next Level Message-Passing with Hierarchical Support Graphs
Carlos Vonessen
Florian Grötschla
Roger Wattenhofer
47
1
0
22 Jun 2024
Bundle Neural Networks for message diffusion on graphs
Bundle Neural Networks for message diffusion on graphs
Jacob Bamberger
Federico Barbero
Xiaowen Dong
Michael M. Bronstein
39
1
0
24 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
53
1
0
20 May 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
57
7
0
27 Dec 2023
Expander Graph Propagation
Expander Graph Propagation
Andreea Deac
Marc Lackenby
Petar Velivcković
96
52
0
06 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs
Gradient Gating for Deep Multi-Rate Learning on Graphs
T. Konstantin Rusch
B. Chamberlain
Michael W. Mahoney
Michael M. Bronstein
Siddhartha Mishra
79
53
0
02 Oct 2022
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
197
309
0
15 Oct 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
916
0
02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
276
1,944
0
09 Jun 2018
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,400
0
01 Dec 2016
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