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Stable and Transferable Hyper-Graph Neural Networks

Stable and Transferable Hyper-Graph Neural Networks

11 November 2022
Mikhail Hayhoe
Hans Riess
V. Preciado
Alejandro Ribeiro
ArXivPDFHTML

Papers citing "Stable and Transferable Hyper-Graph Neural Networks"

5 / 5 papers shown
Title
Position: Topological Deep Learning is the New Frontier for Relational
  Learning
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou
Tolga Birdal
Michael M. Bronstein
Gunnar Carlsson
Justin Curry
...
Petar Velickovic
Bei Wang
Yusu Wang
Guo-Wei Wei
Ghada Zamzmi
AI4CE
38
25
0
14 Feb 2024
Simplicial Convolutional Neural Networks
Simplicial Convolutional Neural Networks
Maosheng Yang
Elvin Isufi
G. Leus
GNN
54
57
0
06 Oct 2021
Transferability of Graph Neural Networks: an Extended Graphon Approach
Transferability of Graph Neural Networks: an Extended Graphon Approach
Sohir Maskey
Ron Levie
Gitta Kutyniok
GNN
81
49
0
21 Sep 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
117
0
14 Jan 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
228
3,202
0
24 Nov 2016
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