:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Zaghen, Olga
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2403.00337
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Revisiting Random Walks for Learning on Graphs
par: Kim, Jinwoo, et autres
Publié: (2024)

Graph Homomorphism Distortion: A Metric to Distinguish Them All and in the Latent Space Bind Them
par: Carrasco, Martin, et autres
Publié: (2025)

Heterogeneous Sheaf Neural Networks
par: Braithwaite, Luke, et autres
Publié: (2024)

Cooperative Sheaf Neural Networks
par: Ribeiro, André, et autres
Publié: (2025)

Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
par: Caralt, Ferran Hernandez, et autres
Publié: (2024)

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
par: Choi, Yoonhyuk, et autres
Publié: (2025)

Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
par: Purificato, Antonio, et autres
Publié: (2023)

Bayesian Sheaf Neural Networks
par: Gillespie, Patrick, et autres
Publié: (2024)

Gaussian Sheaf Neural Networks
par: Ribeiro, André, et autres
Publié: (2026)

Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion
par: Dönmez, Arif, et autres
Publié: (2026)

Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
par: Mostafa, Abeer, et autres
Publié: (2026)

Sheaf Hypergraph Networks
par: Duta, Iulia, et autres
Publié: (2023)

Sheaf Neural Networks and biomedical applications
par: Mehrab, Aneeqa, et autres
Publié: (2026)

Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
par: Peng, Yuhan, et autres
Publié: (2026)

A Sheaf-Theoretic and Topological Perspective on Complex Network Modeling and Attention Mechanisms in Graph Neural Models
par: Hu, Chuan-Shen
Publié: (2026)

Sheaf HyperNetworks for Personalized Federated Learning
par: Nguyen, Bao, et autres
Publié: (2024)

Sheaf Cohomology of Linear Predictive Coding Networks
par: Seely, Jeffrey
Publié: (2025)

Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
par: Borgi, Alessio, et autres
Publié: (2025)

SheafAlign: A Sheaf-theoretic Framework for Decentralized Multimodal Alignment
par: Ghalkha, Abdulmomen, et autres
Publié: (2025)

Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
par: Würth, Tobias, et autres
Publié: (2025)

Multi-Agent System Identification with Nonlinear Sheaf Diffusion
par: Anwer, Nivar, et autres
Publié: (2026)

Domain Adaptive Unfolded Graph Neural Networks
par: Zhang, Zepeng, et autres
Publié: (2024)

FedSheafHN: Personalized Federated Learning on Graph-structured Data
par: Liang, Wenfei, et autres
Publié: (2024)

Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks
par: Zhang, Zepeng, et autres
Publié: (2024)

Semi-Supervised Learning on Graphs using Graph Neural Networks
par: Chen, Juntong, et autres
Publié: (2026)

BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics
par: Viswanath, Siddharth, et autres
Publié: (2026)

Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity
par: Yu, Lei, et autres
Publié: (2024)

On the Necessity of Learnable Sheaf Laplacians
par: Caralt, Ferran Hernandez, et autres
Publié: (2026)

Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
par: Mule, Emanuele, et autres
Publié: (2025)

An Active Diffusion Neural Network for Graphs
par: Jiang, Mengying
Publié: (2025)

Networks of Causal Abstractions: A Sheaf-theoretic Framework
par: D'Acunto, Gabriele, et autres
Publié: (2025)

Graph Neural Network Prediction of Nonlinear Optical Properties
par: Alkabakibi, Yomn, et autres
Publié: (2025)

DeepSN: A Sheaf Neural Framework for Influence Maximization
par: Hevapathige, Asela, et autres
Publié: (2024)

Graph Neural Networks Gone Hogwild
par: Solodova, Olga, et autres
Publié: (2024)

Personalized Subgraph Federated Learning with Sheaf Collaboration
par: Liang, Wenfei, et autres
Publié: (2025)

Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction
par: Idrissova, Shekhnaz, et autres
Publié: (2025)

Riemannian Variational Flow Matching for Material and Protein Design
par: Zaghen, Olga, et autres
Publié: (2025)

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
par: Choi, Seongjin, et autres
Publié: (2025)

Learning Multi-Agent Coordination via Sheaf-ADMM
par: Seely, Jeffrey, et autres
Publié: (2026)

Graph Neural Diffusion Networks for Semi-supervised Learning
par: Ye, Wei, et autres
Publié: (2022)