HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
Fuente:
arXiv
Guardado en:
| Autores principales: | Carrasco, Martin, Bernardez, Guillermo, Montagna, Marco, Miolane, Nina, Telyatnikov, Lev |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
por: Montagna, Marco, et al.
Publicado: (2024)
por: Montagna, Marco, et al.
Publicado: (2024)
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
por: Papillon, Mathilde, et al.
Publicado: (2024)
por: Papillon, Mathilde, et al.
Publicado: (2024)
Projecting Latent RL Actions: Towards Generalizable and Scalable Graph Combinatorial Optimization
por: Terranova, Franco, et al.
Publicado: (2026)
por: Terranova, Franco, et al.
Publicado: (2026)
When Machine Learning Gets Personal: Evaluating Prediction and Explanation
por: Cornelis, Louisa, et al.
Publicado: (2025)
por: Cornelis, Louisa, et al.
Publicado: (2025)
GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization
por: Van Langendonck, Louis, et al.
Publicado: (2025)
por: Van Langendonck, Louis, et al.
Publicado: (2025)
OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
por: Cornelis, Louisa, et al.
Publicado: (2026)
por: Cornelis, Louisa, et al.
Publicado: (2026)
Picid: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains
por: Telyatnikov, Lev, et al.
Publicado: (2026)
por: Telyatnikov, Lev, et al.
Publicado: (2026)
Ordered Topological Deep Learning: a Network Modeling Case Study
por: Bernárdez, Guillermo, et al.
Publicado: (2025)
por: Bernárdez, Guillermo, et al.
Publicado: (2025)
A General Framework for Robust G-Invariance in G-Equivariant Networks
por: Sanborn, Sophia, et al.
Publicado: (2023)
por: Sanborn, Sophia, et al.
Publicado: (2023)
Graph Positional and Structural Encoder
por: Cantürk, Semih, et al.
Publicado: (2023)
por: Cantürk, Semih, et al.
Publicado: (2023)
bispectrum: Selective $G$-Bispectra Made Practical
por: Mathe, Johan, et al.
Publicado: (2026)
por: Mathe, Johan, et al.
Publicado: (2026)
Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks
por: Papillon, Mathilde, et al.
Publicado: (2023)
por: Papillon, Mathilde, et al.
Publicado: (2023)
PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction
por: Mathe, Johan, et al.
Publicado: (2019)
por: Mathe, Johan, et al.
Publicado: (2019)
TopoBench: A Framework for Benchmarking Topological Deep Learning
por: Telyatnikov, Lev, et al.
Publicado: (2024)
por: Telyatnikov, Lev, et al.
Publicado: (2024)
Recurrent State Encoders for Efficient Neural Combinatorial Optimization
por: Dernedde, Tim, et al.
Publicado: (2025)
por: Dernedde, Tim, et al.
Publicado: (2025)
From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence
por: Theiler, Raffael, et al.
Publicado: (2026)
por: Theiler, Raffael, et al.
Publicado: (2026)
Scalable Higher-Order Tensor Product Spline Models
por: Rügamer, David
Publicado: (2024)
por: Rügamer, David
Publicado: (2024)
Causal Discovery on Higher-Order Interactions
por: Zanga, Alessio, et al.
Publicado: (2025)
por: Zanga, Alessio, et al.
Publicado: (2025)
From superposition to sparse codes: interpretable representations in neural networks
por: Klindt, David, et al.
Publicado: (2025)
por: Klindt, David, et al.
Publicado: (2025)
Sequential Group Composition: A Window into the Mechanics of Deep Learning
por: Marchetti, Giovanni Luca, et al.
Publicado: (2026)
por: Marchetti, Giovanni Luca, et al.
Publicado: (2026)
On the Identifiability of Causal Graphs with the Invariance Principle
por: Montagna, Francesco
Publicado: (2025)
por: Montagna, Francesco
Publicado: (2025)
Higher-Order Message Passing for Glycan Representation Learning
por: Joeres, Roman, et al.
Publicado: (2024)
por: Joeres, Roman, et al.
Publicado: (2024)
Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation
por: Gao, Hanjia, et al.
Publicado: (2026)
por: Gao, Hanjia, et al.
Publicado: (2026)
Fast and Scalable Multi-Kernel Encoder Classifier
por: Shen, Cencheng
Publicado: (2024)
por: Shen, Cencheng
Publicado: (2024)
CCMamba: Topologically-Informed Selective State-Space Networks on Combinatorial Complexes for Higher-Order Graph Learning
por: Chen, Jiawen, et al.
Publicado: (2026)
por: Chen, Jiawen, et al.
Publicado: (2026)
Higher Order Structures For Graph Explanations
por: Sinha, Akshit, et al.
Publicado: (2024)
por: Sinha, Akshit, et al.
Publicado: (2024)
Higher-Order Transformers With Kronecker-Structured Attention
por: Omranpour, Soroush, et al.
Publicado: (2024)
por: Omranpour, Soroush, et al.
Publicado: (2024)
Beyond Pairwise Correlations: Higher-Order Redundancies in Self-Supervised Representation Learning
por: Zollikofer, David, et al.
Publicado: (2024)
por: Zollikofer, David, et al.
Publicado: (2024)
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
por: Telyatnikov, Lev, et al.
Publicado: (2023)
por: Telyatnikov, Lev, et al.
Publicado: (2023)
Learning Multi-Order Block Structure in Higher-Order Networks
por: Nakajima, Kazuki, et al.
Publicado: (2025)
por: Nakajima, Kazuki, et al.
Publicado: (2025)
GCN-TULHOR: Trajectory-User Linking Leveraging GCNs and Higher-Order Spatial Representations
por: Tran, Khoa, et al.
Publicado: (2025)
por: Tran, Khoa, et al.
Publicado: (2025)
Higher-Order Causal Structure Learning with Additive Models
por: Enouen, James, et al.
Publicado: (2025)
por: Enouen, James, et al.
Publicado: (2025)
Causal Learning with the Invariance Principle
por: Montagna, Francesco, et al.
Publicado: (2026)
por: Montagna, Francesco, et al.
Publicado: (2026)
Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning
por: Goudet, Olivier, et al.
Publicado: (2025)
por: Goudet, Olivier, et al.
Publicado: (2025)
Bounds on the geodesic distances on the Stiefel manifold for a family of Riemannian metrics
por: Mataigne, Simon, et al.
Publicado: (2024)
por: Mataigne, Simon, et al.
Publicado: (2024)
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
por: Papillon, Mathilde, et al.
Publicado: (2024)
por: Papillon, Mathilde, et al.
Publicado: (2024)
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
por: Besta, Maciej, et al.
Publicado: (2023)
por: Besta, Maciej, et al.
Publicado: (2023)
Self-Improved Learning for Scalable Neural Combinatorial Optimization
por: Luo, Fu, et al.
Publicado: (2024)
por: Luo, Fu, et al.
Publicado: (2024)
KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning
por: Yu, Fangchen, et al.
Publicado: (2024)
por: Yu, Fangchen, et al.
Publicado: (2024)
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
por: Kim, Yeongmin, et al.
Publicado: (2024)
por: Kim, Yeongmin, et al.
Publicado: (2024)
Ejemplares similares
-
Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
por: Montagna, Marco, et al.
Publicado: (2024) -
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
por: Papillon, Mathilde, et al.
Publicado: (2024) -
Projecting Latent RL Actions: Towards Generalizable and Scalable Graph Combinatorial Optimization
por: Terranova, Franco, et al.
Publicado: (2026) -
When Machine Learning Gets Personal: Evaluating Prediction and Explanation
por: Cornelis, Louisa, et al.
Publicado: (2025) -
GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization
por: Van Langendonck, Louis, et al.
Publicado: (2025)