Sheaf Hypergraph Networks
[2309.17116] Sheaf Hypergraph Networks - arXiv
Title:Sheaf Hypergraph Networks ... Abstract:Higher-order relations are widespread in nature, with numerous phenomena involving complex ...
Sheaf Hypergraph Networks | OpenReview
We employ these sheaf hypergraph Laplacians to design two categories of models: Sheaf Hypergraph Neural Networks and Sheaf Hypergraph Convolutional Networks.
Sheaf Hypergraph Networks - OpenReview
We employ these sheaf hypergraph Laplacians to design two categories of models: Sheaf Hypergraph Neural Networks and Sheaf Hyper- graph Convolutional Networks.
Code for Sheaf Hypergraph Networks paper - GitHub
Code for Sheaf Hypergraph Networks paper. Contribute to IuliaDuta/sheaf_hypergraph_networks development by creating an account on GitHub.
Appendix: Sheaf Hypergraph Networks - NIPS papers
Differently, our Sheaf Hypergraph. Networks aim to reduce the discrepancy between the neighbouring representations in the hyperedge space (right). This has ...
Sheaf hypergraph networks | Proceedings of the 37th International ...
Current approaches typically represent these interactions using hypergraphs. We enhance this representation by introducing cellular sheaves for ...
Sheaf Hypergraph Networks - arXiv
We employ these sheaf hypergraph Laplacians to design two categories of models: Sheaf Hypergraph Neural Networks and Sheaf Hyper- graph ...
SPHINX: Structural Prediction using Hypergraph Inference Network
We employ these sheaf hypergraph Laplacians to design two categories of models: Sheaf Hypergraph Neural Networks and Sheaf Hypergraph Convolutional Networks.
A Sheaf-based Approach to Graph Neural Networks - YouTube
The multitude of applications where data is attached to spaces with non-Euclidean structure has driven the rise of the field of Geometric ...
Iulia Duta on X: " Very happy to announce that Sheaf Hypergraph ...
Very happy to announce that Sheaf Hypergraph Networks got accepted to #NeurIPS2023. Many thanks to my collaborators @glcssr @fabreetseo ...
Cristian Bodnar on X: "Very exciting work bringing Sheaf Neural ...
Very happy to announce that Sheaf Hypergraph Networks got accepted to #NeurIPS2023. Many thanks to my collaborators @glcssr @fabreetseo ...
Lecture 3: Sheaf Neural Networks - Cristian Bodnar - YouTube
Go to channel · Cristian Bodnar (11/7/23): A Sheaf-based Approach to Graph Neural Networks. Applied Algebraic Topology Network•1.3K views · 1:05 ...
A gentle introduction to sheaves on graphs - Jakob Hansen
Let F be a sheaf on a graph G and G a sheaf on a graph H. The ... Diffusion on graphs is also used to specify consensus dynamics on networks specifi-.
[PDF] Equivariant Hypergraph Diffusion Neural Operators
Sheaf Hypergraph Networks · Iulia DutaGiulia CassaraFabrizio SilvestriPietro Lió. Mathematics, Computer Science. NeurIPS. 2023. TLDR. This work introduces ...
Giulia Cassarà - Google Scholar
Sheaf hypergraph networks. I Duta, G Cassarà, F Silvestri, P Liò. Advances in ... Sheaf neural networks for graph-based recommender systems. A Purificato ...
(PDF) Heterogeneous Sheaf Neural Networks - ResearchGate
Standard Graph Neural Networks (GNNs) struggle to process heterogeneous data due to oversmoothing. Instead, current approaches have focused on ...
Sheaf Neural Networks with Connection Laplacians
A Sheaf Neural Network (SNN) is a type of Graph Neural Network (GNN) that operates on a sheaf, an object that equips a graph with vector spaces over its nodes ...
Sheaves for AI: Graph Representation Learning through Sheaf Theory
"Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec." Proceedings of the eleventh ACM international conference on web search ...
Sheaf Neural Networks - Thomas Gebhart
The sheaf Laplacian and associated matrices provide an extended version of the diffusion operation in graph convolutional networks, providing a proper ...
[PDF] Preventing Over-Smoothing for Hypergraph Neural Networks
Sheaf Hypergraph Networks · Iulia DutaGiulia CassaraFabrizio SilvestriPietro Lió. Mathematics, Computer Science. NeurIPS. 2023. TLDR. This work introduces ...