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Learning From Simplicial Data Based on Random Walks and 1D Convolutions

Learning From Simplicial Data Based on Random Walks and 1D Convolutions

4 April 2024
Florian Frantzen
Michael T. Schaub
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Papers citing "Learning From Simplicial Data Based on Random Walks and 1D Convolutions"

5 / 5 papers shown
Title
CAT-Walk: Inductive Hypergraph Learning via Set Walks
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Ali Behrouz
Farnoosh Hashemi
Sadaf Sadeghian
Margo Seltzer
29
16
0
19 Jun 2023
Simplicial Convolutional Neural Networks
Simplicial Convolutional Neural Networks
Maosheng Yang
Elvin Isufi
G. Leus
GNN
60
56
0
06 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
73
27
0
17 Feb 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and
  Beyond
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Michael T. Schaub
Yu Zhu
Jean-Baptiste Seby
T. Roddenberry
Santiago Segarra
113
145
0
14 Jan 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
183
913
0
02 Mar 2020
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