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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"
40 / 40 papers shown
Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
Yoshihiro Maruyama
244
0
0
24 Dec 2025
Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
Alessio Borgi
Fabrizio Silvestri
Pietro Lio
154
0
0
28 Nov 2025
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
Cristina López Amado
Tassilo Schwarz
Yu Tian
Renaud Lambiotte
DiffM
GNN
359
0
0
17 Nov 2025
Learning from Frustration: Torsor CNNs on Graphs
Daiyuan Li
Shreya Arya
Robert Ghrist
151
0
0
27 Oct 2025
Disentangling Hyperedges through the Lens of Category Theory
Yoonho Lee
Junseok Lee
Sangwoo Seo
Sungwon Kim
Yeongmin Kim
Chanyoung Park
164
0
0
18 Oct 2025
On the Sheafification of Higher-Order Message Passing
Jacob Hume
Pietro Liò
AI4CE
182
0
0
27 Sep 2025
Personalized Subgraph Federated Learning with Sheaf Collaboration
Wenfei Liang
Yanan Zhao
Rui She
Yiming Li
Wee Peng Tay
FedML
176
0
0
19 Aug 2025
Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction
Shekhnaz Idrissova
Islem Rekik
296
0
0
13 Aug 2025
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
Yoonhyuk Choi
Jiho Choi
Chong-Kwon Kim
292
0
0
01 Aug 2025
Cooperative Sheaf Neural Networks
André Ribeiro
Ana Luiza Tenório
Juan Belieni
Amauri Souza
Diego Mesquita
GNN
302
2
0
01 Jul 2025
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Pavlo Vasylenko
Lennart Bastian
Sarah Osentoski
Hardik Kabaria
John L. Davenport
...
Joseph G. Kocheemoolayil
Nastaran Shahmansouri
Adrian Lew
Theodore Papamarkou
Tolga Birdal
403
4
0
27 May 2025
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
462
2
0
23 May 2025
What Can We Learn From MIMO Graph Convolutions?
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Andreas Roth
Thomas Liebig
423
0
0
16 May 2025
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
IEEE Access (IEEE Access), 2025
Seongjin Choi
Gahee Kim
Yong-Geun Oh
358
1
0
09 May 2025
SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
IEEE International Conference on Robotics and Automation (ICRA), 2025
Shuhao Liao
Weihang Xia
Yuhong Cao
Weiheng Dai
Chengyang He
Wenjun Wu
Guillaume Sartoretti
AI4CE
604
3
0
10 Feb 2025
Bayesian Sheaf Neural Networks
Patrick Gillespie
Vasileios Maroulas
Ioannis Schizas
D. Boothe
Vasileios Maroulas
322
4
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
205
9
0
30 Jul 2024
An Intrinsic Vector Heat Network
International Conference on Machine Learning (ICML), 2024
Alexander Gao
Maurice Chu
Mubbasir Kapadia
Ming C. Lin
Hsueh-Ti Derek Liu
AI4CE
269
2
0
14 Jun 2024
Sheaf HyperNetworks for Personalized Federated Learning
B. Nguyen
Lorenzo Sani
Xinchi Qiu
Pietro Lio
Nicholas D. Lane
321
5
0
31 May 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data
Wenfei Liang
Yanan Zhao
Rui She
Yiming Li
Wee Peng Tay
FedML
370
2
0
25 May 2024
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
722
20
0
24 May 2024
Bundle Neural Networks for message diffusion on graphs
Jacob Bamberger
Federico Barbero
Xiaowen Dong
Michael M. Bronstein
428
9
0
24 May 2024
Attending to Topological Spaces: The Cellular Transformer
Rubén Ballester
Pablo Hernández-García
Johan Mathe
Claudio Battiloro
Nina Miolane
Tolga Birdal
Carles Casacuberta
Sergio Escalera
Pavlo Vasylenko
367
6
0
23 May 2024
Prospects for inconsistency detection using large language models and sheaves
Steve Huntsman
Michael Robinson
Ludmilla Huntsman
310
13
0
30 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs
M. Hanik
Gabriele Steidl
C. V. Tycowicz
GNN
MedIm
545
4
0
25 Jan 2024
Simplicial Representation Learning with Neural
k
k
k
-Forms
International Conference on Learning Representations (ICLR), 2023
Kelly Maggs
Celia Hacker
Bastian Rieck
AI4CE
342
16
0
13 Dec 2023
Algebraic Topological Networks via the Persistent Local Homology Sheaf
Gabriele Cesa
Arash Behboodi
190
2
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
244
18
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
361
33
0
16 Oct 2023
Sheaf Hypergraph Networks
Neural Information Processing Systems (NeurIPS), 2023
Iulia Duta
Giulia Cassara
Fabrizio Silvestri
Pietro Lio
415
44
0
29 Sep 2023
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
International Conference on Learning Representations (ICLR), 2023
Claudio Battiloro
Indro Spinelli
Lev Telyatnikov
Michael M. Bronstein
Simone Scardapane
P. Lorenzo
BDL
441
20
0
25 May 2023
Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists
International Journal of Geometric Methods in Modern Physics (IJGMMP) (IJGMMP), 2023
R. Fioresi
F. Zanchetta
PINN
150
9
0
09 May 2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Claudio Battiloro
Zhiyang Wang
Hans Riess
Paolo Di Lorenzo
Alejandro Ribeiro
257
18
0
20 Mar 2023
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Claudio Battiloro
Zhiyang Wang
Hans Riess
P. Lorenzo
Alejandro Ribeiro
326
16
0
26 Oct 2022
Generalized energy and gradient flow via graph framelets
Andi Han
Dai Shi
Zhiqi Shao
Junbin Gao
310
16
0
08 Oct 2022
Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel
Thomas Gebhart
GNN
118
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
231
54
0
17 Jun 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Neural Information Processing Systems (NeurIPS), 2022
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio
Michael M. Bronstein
529
231
0
09 Feb 2022
Dist2Cycle: A Simplicial Neural Network for Homology Localization
AAAI Conference on Artificial Intelligence (AAAI), 2021
A. Keros
Vidit Nanda
Kartic Subr
236
29
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
527
294
0
23 Jun 2021
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