Sheaf Neural Networks

8 December 2020

Papers citing "Sheaf Neural Networks"

30 / 30 papers shown

Title
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 57 0 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 95 0 0 23 May 2025
What Can We Learn From MIMO Graph Convolutions? Andreas Roth Thomas Liebig 112 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 50 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 119 1 0 10 Feb 2025
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas 52 2 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 76 4 0 30 Jul 2024
An Intrinsic Vector Heat Network Alexander Gao Maurice Chu Mubbasir Kapadia Ming C. Lin Hsueh-Ti Derek Liu AI4CE 46 0 0 14 Jun 2024
Sheaf HyperNetworks for Personalized Federated Learning B. Nguyen Lorenzo Sani Xinchi Qiu Pietro Lio Nicholas D. Lane 78 1 0 31 May 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data Wenfei Liang Yanan Zhao Rui She Yiming Li Wee Peng Tay FedML 96 1 0 25 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 121 3 0 24 May 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 147 9 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 102 5 0 23 May 2024
Prospects for inconsistency detection using large language models and sheaves Steve Huntsman Michael Robinson Ludmilla Huntsman 76 5 0 30 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 133 3 0 25 Jan 2024
Simplicial Representation Learning with Neural $k$ -Forms Kelly Maggs Celia Hacker Bastian Rieck AI4CE 96 12 0 13 Dec 2023
Algebraic Topological Networks via the Persistent Local Homology Sheaf Gabriele Cesa Arash Behboodi 53 1 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 74 11 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 98 24 0 16 Oct 2023
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 Claudio Battiloro Indro Spinelli Lev Telyatnikov Michael M. Bronstein Simone Scardapane P. Lorenzo BDL 92 17 0 25 May 2023
Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists R. Fioresi F. Zanchetta PINN 53 5 0 09 May 2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back Claudio Battiloro Zhiyang Wang Hans Riess Paolo Di Lorenzo Alejandro Ribeiro 74 11 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 98 14 0 26 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 175 13 0 08 Oct 2022
Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel Thomas Gebhart GNN 58 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 75 43 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 108 183 0 09 Feb 2022
Dist2Cycle: A Simplicial Neural Network for Homology Localization A. Keros Vidit Nanda Kartic Subr 60 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 139 237 0 23 Jun 2021