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Sheaf Hypergraph Networks

Sheaf Hypergraph Networks

29 September 2023
Iulia Duta
Giulia Cassara
Fabrizio Silvestri
Pietro Lió
ArXivPDFHTML

Papers citing "Sheaf Hypergraph Networks"

12 / 12 papers shown
Title
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
21
0
0
09 May 2025
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning
Hao Wang
Shuo Zhang
Biao Leng
ViT
62
0
0
03 Apr 2025
HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks
HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks
Xiangfei Fang
Boying Wang
Chengying Huan
Shaonan Ma
Heng Zhang
Chen Zhao
55
0
0
16 Mar 2025
Dirac-Equation Signal Processing: Physics Boosts Topological Machine
  Learning
Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning
Runyue Wang
Yu Tian
Pietro Liò
Ginestra Bianconi
64
2
0
06 Dec 2024
Bayesian Sheaf Neural Networks
Bayesian Sheaf Neural Networks
Patrick Gillespie
Vasileios Maroulas
Ioannis Schizas
16
1
0
12 Oct 2024
SPHINX: Structural Prediction using Hypergraph Inference Network
SPHINX: Structural Prediction using Hypergraph Inference Network
Iulia Duta
Pietro Liò
28
2
0
04 Oct 2024
Heterogeneous Sheaf Neural Networks
Heterogeneous Sheaf Neural Networks
Luke Braithwaite
Iulia Duta
Pietro Liò
23
1
0
12 Sep 2024
Sheaf HyperNetworks for Personalized Federated Learning
Sheaf HyperNetworks for Personalized Federated Learning
B. Nguyen
Lorenzo Sani
Xinchi Qiu
Pietro Lió
Nicholas D. Lane
19
0
0
31 May 2024
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node
  Classification
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification
Yijia Zheng
M. Worring
DiffM
37
1
0
23 May 2024
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua
Guillaume Rabusseau
Jian Tang
70
25
0
24 May 2022
Predicting Patient Outcomes with Graph Representation Learning
Predicting Patient Outcomes with Graph Representation Learning
Emma Rocheteau
Catherine Tong
Petar Velickovic
Nicholas D. Lane
Pietro Lió
38
48
0
11 Jan 2021
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
152
0
23 Jul 2018
1