Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Fuente:
arXiv
Guardado en:
| Autores principales: | von Rohrscheidt, Julius, Rieck, Bastian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Molecular Machine Learning Using Euler Characteristic Transforms
por: Toscano-Duran, Victor, et al.
Publicado: (2025)
por: Toscano-Duran, Victor, et al.
Publicado: (2025)
Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
por: Rieck, Bastian
Publicado: (2026)
por: Rieck, Bastian
Publicado: (2026)
Topology meets Machine Learning: An Introduction using the Euler Characteristic Transform
por: Rieck, Bastian
Publicado: (2024)
por: Rieck, Bastian
Publicado: (2024)
Mapping the Multiverse of Latent Representations
por: Wayland, Jeremy, et al.
Publicado: (2024)
por: Wayland, Jeremy, et al.
Publicado: (2024)
Simplicial Representation Learning with Neural $k$-Forms
por: Maggs, Kelly, et al.
Publicado: (2023)
por: Maggs, Kelly, et al.
Publicado: (2023)
Geometry-Aware Simplicial Message Passing
por: Wang, Elena Xinyi, et al.
Publicado: (2026)
por: Wang, Elena Xinyi, et al.
Publicado: (2026)
Persistent Homology via Ellipsoids
por: Canova, Niklas, et al.
Publicado: (2024)
por: Canova, Niklas, et al.
Publicado: (2024)
No Triangulation Without Representation: Generalization in Topological Deep Learning
por: Schmidt, Johannes S., et al.
Publicado: (2026)
por: Schmidt, Johannes S., et al.
Publicado: (2026)
Euler Characteristic Tools For Topological Data Analysis
por: Hacquard, Olympio, et al.
Publicado: (2023)
por: Hacquard, Olympio, et al.
Publicado: (2023)
MANTRA: The Manifold Triangulations Assemblage
por: Ballester, Rubén, et al.
Publicado: (2024)
por: Ballester, Rubén, et al.
Publicado: (2024)
Interpretable Classification of Time Series Using Euler Characteristic Surfaces
por: Luwang, Salam Rabindrajit, et al.
Publicado: (2026)
por: Luwang, Salam Rabindrajit, et al.
Publicado: (2026)
On the Expressivity of Persistent Homology in Graph Learning
por: Ballester, Rubén, et al.
Publicado: (2023)
por: Ballester, Rubén, et al.
Publicado: (2023)
Stability, Complexity and Data-Dependent Worst-Case Generalization Bounds
por: Tuci, Mario, et al.
Publicado: (2025)
por: Tuci, Mario, et al.
Publicado: (2025)
The magnitude vector of images
por: Adamer, Michael F., et al.
Publicado: (2021)
por: Adamer, Michael F., et al.
Publicado: (2021)
Tensor Computation of Euler Characteristic Functions and Transforms
por: Cisewski-Kehe, Jessi, et al.
Publicado: (2025)
por: Cisewski-Kehe, Jessi, et al.
Publicado: (2025)
The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learning
por: Holmgren, Benjamin, et al.
Publicado: (2024)
por: Holmgren, Benjamin, et al.
Publicado: (2024)
Convolutional Persistence Transforms
por: Solomon, Elchanan, et al.
Publicado: (2022)
por: Solomon, Elchanan, et al.
Publicado: (2022)
xPerT: Extended Persistence Transformer
por: Kim, Sehun
Publicado: (2024)
por: Kim, Sehun
Publicado: (2024)
Boosting Graph Pooling with Persistent Homology
por: Ying, Chaolong, et al.
Publicado: (2024)
por: Ying, Chaolong, et al.
Publicado: (2024)
Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells
por: Ji, Mattie, et al.
Publicado: (2026)
por: Ji, Mattie, et al.
Publicado: (2026)
Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs
por: Li, Hao, et al.
Publicado: (2024)
por: Li, Hao, et al.
Publicado: (2024)
A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification
por: Majhi, Sushovan, et al.
Publicado: (2026)
por: Majhi, Sushovan, et al.
Publicado: (2026)
Persistent Homology for High-dimensional Data Based on Spectral Methods
por: Damrich, Sebastian, et al.
Publicado: (2023)
por: Damrich, Sebastian, et al.
Publicado: (2023)
Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
por: Dey, Tamal K., et al.
Publicado: (2025)
por: Dey, Tamal K., et al.
Publicado: (2025)
Differentiable Euler Characteristic Transforms for Shape Classification
por: Roell, Ernst, et al.
Publicado: (2023)
por: Roell, Ernst, et al.
Publicado: (2023)
HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data
por: Viswanath, Siddharth, et al.
Publicado: (2025)
por: Viswanath, Siddharth, et al.
Publicado: (2025)
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
por: Solunke, Parikshit, et al.
Publicado: (2024)
por: Solunke, Parikshit, et al.
Publicado: (2024)
LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
por: Amboage, Juan, et al.
Publicado: (2025)
por: Amboage, Juan, et al.
Publicado: (2025)
Topological Data Analysis in smart manufacturing: State of the art and futuredirections
por: Uray, Martin, et al.
Publicado: (2023)
por: Uray, Martin, et al.
Publicado: (2023)
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning
por: Shin, Jaesun, et al.
Publicado: (2024)
por: Shin, Jaesun, et al.
Publicado: (2024)
Bi-Filtration and Stability of TDA Mapper for Point Cloud Data
por: Bungula, Wako, et al.
Publicado: (2024)
por: Bungula, Wako, et al.
Publicado: (2024)
Filtration-Based Representation Learning for Temporal Graphs
por: Chowdhury, Samrik, et al.
Publicado: (2025)
por: Chowdhury, Samrik, et al.
Publicado: (2025)
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
por: Andreeva, Rayna, et al.
Publicado: (2024)
por: Andreeva, Rayna, et al.
Publicado: (2024)
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
por: Eitan, Yam, et al.
Publicado: (2024)
por: Eitan, Yam, et al.
Publicado: (2024)
Persistence kernels for classification: A comparative study
por: Bandiziol, Cinzia, et al.
Publicado: (2024)
por: Bandiziol, Cinzia, et al.
Publicado: (2024)
Graphcode: Learning from multiparameter persistent homology using graph neural networks
por: Kerber, Michael, et al.
Publicado: (2024)
por: Kerber, Michael, et al.
Publicado: (2024)
SIMAP: A simplicial-map layer for neural networks
por: Gonzalez-Diaz, Rocio, et al.
Publicado: (2024)
por: Gonzalez-Diaz, Rocio, et al.
Publicado: (2024)
Simplicial covering dimension of extremal concept classes
por: Blondal, Ari, et al.
Publicado: (2025)
por: Blondal, Ari, et al.
Publicado: (2025)
Probabilistic Foundations of Fuzzy Simplicial Sets for Nonlinear Dimensionality Reduction
por: Keck, Janis, et al.
Publicado: (2025)
por: Keck, Janis, et al.
Publicado: (2025)
Fast Topological Signal Identification and Persistent Cohomological Cycle Matching
por: García-Redondo, Inés, et al.
Publicado: (2022)
por: García-Redondo, Inés, et al.
Publicado: (2022)
Ejemplares similares
-
Molecular Machine Learning Using Euler Characteristic Transforms
por: Toscano-Duran, Victor, et al.
Publicado: (2025) -
Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
por: Rieck, Bastian
Publicado: (2026) -
Topology meets Machine Learning: An Introduction using the Euler Characteristic Transform
por: Rieck, Bastian
Publicado: (2024) -
Mapping the Multiverse of Latent Representations
por: Wayland, Jeremy, et al.
Publicado: (2024) -
Simplicial Representation Learning with Neural $k$-Forms
por: Maggs, Kelly, et al.
Publicado: (2023)