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Distinguished In Uniform: Self Attention Vs. Virtual Nodes

Distinguished In Uniform: Self Attention Vs. Virtual Nodes

20 May 2024
Eran Rosenbluth
Jan Tonshoff
Martin Ritzert
Berke Kisin
Martin Grohe
ArXivPDFHTML

Papers citing "Distinguished In Uniform: Self Attention Vs. Virtual Nodes"

10 / 10 papers shown
Title
A Survey of Graph Transformers: Architectures, Theories and Applications
A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan
Kangfei Zhao
Ercan Engin Kuruoglu
Liang Wang
Tingyang Xu
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
57
4
0
23 Feb 2025
Homomorphism Counts as Structural Encodings for Graph Learning
Homomorphism Counts as Structural Encodings for Graph Learning
Linus Bao
Emily Jin
Michael M. Bronstein
.Ismail .Ilkan Ceylan
Matthias Lanzinger
30
1
0
24 Oct 2024
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
Guibin Zhang
Xinfeng Li
Xiangguo Sun
Guancheng Wan
Miao Yu
Fan Zhang
Kun Wang
Dawei Cheng
Dawei Cheng
AAML
AI4CE
46
7
0
15 Oct 2024
Next Level Message-Passing with Hierarchical Support Graphs
Next Level Message-Passing with Hierarchical Support Graphs
Carlos Vonessen
Florian Grötschla
Roger Wattenhofer
44
1
0
22 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks
Learning Long Range Dependencies on Graphs via Random Walks
Dexiong Chen
Till Hendrik Schulz
Karsten Borgwardt
34
2
0
05 Jun 2024
Probabilistic Graph Rewiring via Virtual Nodes
Probabilistic Graph Rewiring via Virtual Nodes
Chendi Qian
Andrei Manolache
Christopher Morris
Mathias Niepert
AI4CE
38
3
0
27 May 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
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
Joshua Southern
Francesco Di Giovanni
Michael M. Bronstein
J. Lutzeyer
57
1
0
22 May 2024
Future Directions in the Theory of Graph Machine Learning
Future Directions in the Theory of Graph Machine Learning
Christopher Morris
Fabrizio Frasca
Nadav Dym
Haggai Maron
.Ismail .Ilkan Ceylan
Ron Levie
Derek Lim
Michael M. Bronstein
Martin Grohe
Stefanie Jegelka
AI4CE
32
5
0
03 Feb 2024
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
1