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Sheaf Neural Networks with Connection Laplacians

Sheaf Neural Networks with Connection Laplacians

17 June 2022
Federico Barbero
Cristian Bodnar
Haitz Sáez de Ocáriz Borde
Michael M. Bronstein
Petar Velivcković
Pietro Lio
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Papers citing "Sheaf Neural Networks with Connection Laplacians"

12 / 12 papers shown
Title
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Mustafa Hajij
Lennart Bastian
Sarah Osentoski
Hardik Kabaria
John L. Davenport
...
Joseph G. Kocheemoolayil
Nastaran Shahmansouri
Adrian Lew
Theodore Papamarkou
Tolga Birdal
54
0
0
27 May 2025
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Manuel Lecha
Andrea Cavallo
Francesca Dominici
Ran Levi
Alessio Del Bue
Elvin Isufi
Pietro Morerio
Claudio Battiloro
AI4CE
95
0
0
23 May 2025
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
Seongjin Choi
Gahee Kim
Yong-Geun Oh
50
0
0
09 May 2025
Metric Learning for Clifford Group Equivariant Neural Networks
Metric Learning for Clifford Group Equivariant Neural Networks
Riccardo Ali
Paulina Kulyt.e
Haitz Sáez de Ocáriz Borde
Pietro Lio
69
0
0
13 Jul 2024
E(n) Equivariant Topological Neural Networks
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
147
9
0
24 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
121
3
0
24 May 2024
Sheaf Hypergraph Networks
Sheaf Hypergraph Networks
Iulia Duta
Giulia Cassara
Fabrizio Silvestri
Pietro Lio
70
23
0
29 Sep 2023
From Latent Graph to Latent Topology Inference: Differentiable Cell
  Complex Module
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
Claudio Battiloro
Indro Spinelli
Lev Telyatnikov
Michael M. Bronstein
Simone Scardapane
P. Lorenzo
BDL
92
17
0
25 May 2023
Projections of Model Spaces for Latent Graph Inference
Projections of Model Spaces for Latent Graph Inference
Haitz Sáez de Ocáriz Borde
Alvaro Arroyo
Ingmar Posner
89
9
0
21 Mar 2023
Graph Neural Networks in Vision-Language Image Understanding: A Survey
Graph Neural Networks in Vision-Language Image Understanding: A Survey
Henry Senior
Greg Slabaugh
Shanxin Yuan
Luca Rossi
GNN
89
21
0
07 Mar 2023
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric
  Polynomials
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials
Xun Liu
Alex Hay-Man Ng
Fangyu Lei
Yikuan Zhang
Zhengmin Li
GNN
109
2
0
30 Sep 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and
  Oversmoothing in GNNs
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio
Michael M. Bronstein
105
183
0
09 Feb 2022
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