- On the Current State of Sheaf Theoretic Networking🔍
- Towards Sheaf Theoretic Analyses for Delay Tolerant Networking🔍
- The reason why sheaf theory emerged🔍
- Sheaf Neural Networks for Graph|based Recommender Systems🔍
- ct.category theory🔍
- Applications of Sheaf Cohomology and Exact Sequences on ...🔍
- Bayesian Sheaf Neural Networks🔍
- A Sheaf Theoretical Approach to Uncertainty Quantification of ...🔍
On the Current State of Sheaf Theoretic Networking
On the Current State of Sheaf Theoretic Networking
By reframing networking theory in terms of sheaves, we seek to enable a more general understanding of the structure of networks in space and how they differ ...
On the Current State of Sheaf Theoretic Networking
Advancing the Delay Tolerant Networking (DTN) effort has proven to be a unique and difficult challenge. In the journey to implementing space ...
Towards Sheaf Theoretic Analyses for Delay Tolerant Networking
... networks (DTN), with a focus on space networks. The current routing methodology has been to use contact graph routing (CGR) algorithms. CGR ...
The reason why sheaf theory emerged
Motivation: In any history, there is a cause-and-effect relationship. So I became curious about the situation in which the sheaf theory came to ...
Sheaf Neural Networks for Graph-based Recommender Systems
... existing state-of-the-art models such as Neural Graph Collaborative Filtering (NGCF), KGTORe and other recently developed GNN-based models.
ct.category theory - Sheaf-theoretic approach to forcing - MathOverflow
(My current perspective, sketched in these slides, is that this is a ... But the internal separation axiom schema is a strong condition on the ...
Applications of Sheaf Cohomology and Exact Sequences on ...
sheaf theory and network coding problems. Especially, information ... from si ∈ S(rj) as the glueing condition of the network coding sheaf on the ...
Bayesian Sheaf Neural Networks - arXiv
[31] combine graph variational autoen- coders with graph recurrent networks to outperform existing state-of-the-art methods on dynamic link ...
A Sheaf Theoretical Approach to Uncertainty Quantification of ...
Simplicial Sheaf Models. First we define the concept of an abstract simplicial complex, the type of topological space used to model our sensor network.
Lecture 3: Sheaf Neural Networks - Cristian Bodnar - YouTube
Video recording of the First Italian Summer School on Geometric Deep Learning, which took place in July 2022 in Pescara.
A Sheaf-Theoretic Framework for Knowledge Graph Embedding
of existing models. This perspective also provides new ben- efits: the ... three state-of-the-art models for complex query reasoning: BetaE (Ren and ...
Going Beyond the Data as the Patching (Sheaving) of Local ...
Conceptually, at least, this situation is akin to tracking the passage from a local to a global property, which is the purview of sheaf theory. This way of ...
A Sheaf-based Approach to Graph Neural Networks - YouTube
... how we can take a sheaf-theoretic perspective of the field with a focus on understanding and developing new Graph Neural Network models.
Towards Sheaf Theoretic Analyses for Delay Tolerant Networking
Request PDF | On Mar 6, 2021, Robert Short and others published Towards Sheaf Theoretic Analyses for Delay Tolerant Networking | Find, read and cite all the ...
Towards Sheaf Theoretic Analyses for Delay Tolerant Networking
This paper explores the current status of the HDTN software, including its capabilities and also various performance metrics at the bundle layer, the ...
Sheaf-theoretic framework for optimal network control - NASA/ADS
... network, and the state of this equipment evolves over time according to known dynamics and the presence or absence of control actions. First, we provide a ...
A Sheaf Theoretic Perspective for Robust Prostate Segmentation
... state your overall opinion of the paper if it has been changed 5 [Post ... The selection of the baselines and provided evaluation (given the current ...
[PDF] Sheaf-theoretic framework for optimal network control.
... network, and the state of this equipment evolves over time according to known dynamics and the presence or absence of control actions. First ...
Sheaf (mathematics) - Wikipedia
These functors, and certain variants of them, are essential parts of sheaf theory. Due to their general nature and versatility, sheaves have several ...
The sheaf-theoretic structure of contextuality and non-locality | Vidéo
The mathematical structure of contextuality, with non-locality as a special case, is fundamentally sheaf-theoretic. ... The resource theory of tensor networks. By ...