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Towards Principled Graph Transformers

Towards Principled Graph Transformers

18 January 2024
Luis Muller
Daniel Kusuma
Blai Bonet
Christopher Morris
ArXivPDFHTML

Papers citing "Towards Principled Graph Transformers"

5 / 5 papers shown
Title
Specformer: Spectral Graph Neural Networks Meet Transformers
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
71
80
0
02 Mar 2023
The CLRS Algorithmic Reasoning Benchmark
The CLRS Algorithmic Reasoning Benchmark
Petar Velivcković
Adria Puigdomenech Badia
David Budden
Razvan Pascanu
Andrea Banino
Mikhail Dashevskiy
R. Hadsell
Charles Blundell
161
88
0
31 May 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
308
0
15 Oct 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond
  Message Passing
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing
Jan Toenshoff
Martin Ritzert
Hinrikus Wolf
Martin Grohe
GNN
78
28
0
17 Feb 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
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