ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.06333
  4. Cited By
Sheaf Neural Networks

Sheaf Neural Networks

8 December 2020
J. Hansen
Thomas Gebhart
    GNN
ArXivPDFHTML

Papers citing "Sheaf Neural Networks"

28 / 28 papers shown
Title
What Can We Learn From MIMO Graph Convolutions?
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
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
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
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
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
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
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
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
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
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
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
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
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 $k$-Forms
Simplicial Representation Learning with Neural kkk-Forms
Kelly Maggs
Celia Hacker
Bastian Rieck
AI4CE
38
10
0
13 Dec 2023
Algebraic Topological Networks via the Persistent Local Homology Sheaf
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
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
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
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
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
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
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
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
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
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
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
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
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
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