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2012.06333
Cited By
Sheaf Neural Networks
8 December 2020
J. Hansen
Thomas Gebhart
GNN
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Papers citing
"Sheaf Neural Networks"
28 / 28 papers shown
Title
What Can We Learn From MIMO Graph Convolutions?
Andreas Roth
Thomas Liebig
19
0
0
16 May 2025
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
Seongjin Choi
Gahee Kim
Yong-Geun Oh
28
0
0
09 May 2025
SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
Shuhao Liao
Weihang Xia
Yuhong Cao
Weiheng Dai
Chengyang He
Wenjun Wu
Guillaume Sartoretti
AI4CE
66
1
0
10 Feb 2025
Bayesian Sheaf Neural Networks
Patrick Gillespie
Vasileios Maroulas
Ioannis Schizas
23
1
0
12 Oct 2024
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
Ferran Hernandez Caralt
Guillermo Bernárdez Gil
Iulia Duta
Pietro Lio
Eduard Alarcón-Cot
34
2
0
30 Jul 2024
An Intrinsic Vector Heat Network
Alexander Gao
Maurice Chu
Mubbasir Kapadia
Ming C. Lin
Hsueh-Ti Derek Liu
AI4CE
34
0
0
14 Jun 2024
Sheaf HyperNetworks for Personalized Federated Learning
B. Nguyen
Lorenzo Sani
Xinchi Qiu
Pietro Lio
Nicholas D. Lane
45
0
0
31 May 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data
Wenfei Liang
Yanan Zhao
Rui She
Yiming Li
Wee Peng Tay
FedML
56
0
0
25 May 2024
Bundle Neural Networks for message diffusion on graphs
Jacob Bamberger
Federico Barbero
Xiaowen Dong
Michael M. Bronstein
51
1
0
24 May 2024
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
63
6
0
24 May 2024
Attending to Topological Spaces: The Cellular Transformer
Rubén Ballester
Pablo Hernández-García
Mathilde Papillon
Claudio Battiloro
Nina Miolane
Tolga Birdal
Carles Casacuberta
Sergio Escalera
Mustafa Hajij
48
4
0
23 May 2024
Prospects for inconsistency detection using large language models and sheaves
Steve Huntsman
Michael Robinson
Ludmilla Huntsman
42
4
0
30 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs
M. Hanik
Gabriele Steidl
C. V. Tycowicz
GNN
MedIm
46
3
0
25 Jan 2024
Simplicial Representation Learning with Neural
k
k
k
-Forms
Kelly Maggs
Celia Hacker
Bastian Rieck
AI4CE
38
10
0
13 Dec 2023
Algebraic Topological Networks via the Persistent Local Homology Sheaf
Gabriele Cesa
Arash Behboodi
39
0
0
16 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation
Jialin Chen
Yuelin Wang
Cristian Bodnar
Rex Ying
Pietro Lio
Yu Guang Wang
42
10
0
09 Nov 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
Andi Han
Dai Shi
Lequan Lin
Junbin Gao
AI4CE
GNN
39
21
0
16 Oct 2023
Sheaf Hypergraph Networks
Iulia Duta
Giulia Cassara
Fabrizio Silvestri
Pietro Lio
27
18
0
29 Sep 2023
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
31
14
0
25 May 2023
Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists
R. Fioresi
F. Zanchetta
PINN
33
4
0
09 May 2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
Claudio Battiloro
Zhiyang Wang
Hans Riess
P. Di Lorenzo
Alejandro Ribeiro
33
9
0
20 Mar 2023
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back
Claudio Battiloro
Zhiyang Wang
Hans Riess
P. Lorenzo
Alejandro Ribeiro
49
13
0
26 Oct 2022
Generalized energy and gradient flow via graph framelets
Andi Han
Dai Shi
Zhiqi Shao
Junbin Gao
80
13
0
08 Oct 2022
Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel
Thomas Gebhart
GNN
36
1
0
19 Aug 2022
Sheaf Neural Networks with Connection Laplacians
Federico Barbero
Cristian Bodnar
Haitz Sáez de Ocáriz Borde
Michael M. Bronstein
Petar Velivcković
Pietro Lio
42
41
0
17 Jun 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio
Michael M. Bronstein
37
171
0
09 Feb 2022
Dist2Cycle: A Simplicial Neural Network for Homology Localization
A. Keros
Vidit Nanda
Kartic Subr
19
28
0
28 Oct 2021
Weisfeiler and Lehman Go Cellular: CW Networks
Cristian Bodnar
Fabrizio Frasca
N. Otter
Yu Guang Wang
Pietro Lio
Guido Montúfar
M. Bronstein
GNN
33
227
0
23 Jun 2021
1