Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Papillon, Mathilde, Sanborn, Sophia, Hajij, Mustafa, Miolane, Nina |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A General Framework for Robust G-Invariance in G-Equivariant Networks
by: Sanborn, Sophia, et al.
Published: (2023)
by: Sanborn, Sophia, et al.
Published: (2023)
Attending to Topological Spaces: The Cellular Transformer
by: Ballester, Rubén, et al.
Published: (2024)
by: Ballester, Rubén, et al.
Published: (2024)
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
by: Papillon, Mathilde, et al.
Published: (2024)
by: Papillon, Mathilde, et al.
Published: (2024)
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
by: Papillon, Mathilde, et al.
Published: (2024)
by: Papillon, Mathilde, et al.
Published: (2024)
Ordered Topological Deep Learning: a Network Modeling Case Study
by: Bernárdez, Guillermo, et al.
Published: (2025)
by: Bernárdez, Guillermo, et al.
Published: (2025)
Topotein: Topological Deep Learning for Protein Representation Learning
by: Wang, Zhiyu, et al.
Published: (2025)
by: Wang, Zhiyu, et al.
Published: (2025)
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
by: Hajij, Mustafa, et al.
Published: (2025)
by: Hajij, Mustafa, et al.
Published: (2025)
The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks
by: Mataigne, Simon, et al.
Published: (2024)
by: Mataigne, Simon, et al.
Published: (2024)
TopoBench: A Framework for Benchmarking Topological Deep Learning
by: Telyatnikov, Lev, et al.
Published: (2024)
by: Telyatnikov, Lev, et al.
Published: (2024)
Position: Topological Deep Learning is the New Frontier for Relational Learning
by: Papamarkou, Theodore, et al.
Published: (2024)
by: Papamarkou, Theodore, et al.
Published: (2024)
ICML 2023 Topological Deep Learning Challenge : Design and Results
by: Papillon, Mathilde, et al.
Published: (2023)
by: Papillon, Mathilde, et al.
Published: (2023)
PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing
by: Kohli, Bhavya, et al.
Published: (2026)
by: Kohli, Bhavya, et al.
Published: (2026)
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
by: Wu, Qizhe, et al.
Published: (2024)
by: Wu, Qizhe, et al.
Published: (2024)
Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
by: Taha, Diaaeldin, et al.
Published: (2025)
by: Taha, Diaaeldin, et al.
Published: (2025)
Convexified Message-Passing Graph Neural Networks
by: Cohen, Saar, et al.
Published: (2025)
by: Cohen, Saar, et al.
Published: (2025)
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
by: Lee, Minho, et al.
Published: (2024)
by: Lee, Minho, et al.
Published: (2024)
Optimality of Message-Passing Architectures for Sparse Graphs
by: Baranwal, Aseem, et al.
Published: (2023)
by: Baranwal, Aseem, et al.
Published: (2023)
Probabilistically Rewired Message-Passing Neural Networks
by: Qian, Chendi, et al.
Published: (2023)
by: Qian, Chendi, et al.
Published: (2023)
Improving the Effective Receptive Field of Message-Passing Neural Networks
by: Finder, Shahaf E., et al.
Published: (2025)
by: Finder, Shahaf E., et al.
Published: (2025)
Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks
by: Bose, Kushal, et al.
Published: (2025)
by: Bose, Kushal, et al.
Published: (2025)
A Theoretical Formulation of Many-body Message Passing Neural Networks
by: Han, Jiatong
Published: (2024)
by: Han, Jiatong
Published: (2024)
Sequential Group Composition: A Window into the Mechanics of Deep Learning
by: Marchetti, Giovanni Luca, et al.
Published: (2026)
by: Marchetti, Giovanni Luca, et al.
Published: (2026)
OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
by: Cornelis, Louisa, et al.
Published: (2026)
by: Cornelis, Louisa, et al.
Published: (2026)
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)
The Polynomial Counting Capabilities of Message Passing Neural Networks
by: Sälzer, Marco, et al.
Published: (2026)
by: Sälzer, Marco, et al.
Published: (2026)
Revisiting the Message Passing in Heterophilous Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)
by: Zheng, Zhuonan, et al.
Published: (2024)
Parameter-Free Structural-Diversity Message Passing for Graph Neural Networks
by: Kong, Mingyue, et al.
Published: (2025)
by: Kong, Mingyue, et al.
Published: (2025)
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks
by: Rizvi, Syed Asad, et al.
Published: (2022)
by: Rizvi, Syed Asad, et al.
Published: (2022)
PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction
by: Mathe, Johan, et al.
Published: (2019)
by: Mathe, Johan, et al.
Published: (2019)
Integrating Project Spatial Coordinates into Pavement Management Prioritization
by: Hanandeh, Shadi, et al.
Published: (2018)
by: Hanandeh, Shadi, et al.
Published: (2018)
Topology of Out-of-Distribution Examples in Deep Neural Networks
by: Datta, Esha, et al.
Published: (2025)
by: Datta, Esha, et al.
Published: (2025)
Approximate Message Passing for Bayesian Neural Networks
by: Sommerfeld, Romeo, et al.
Published: (2025)
by: Sommerfeld, Romeo, et al.
Published: (2025)
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
by: Bernárdez, Guillermo, et al.
Published: (2024)
by: Bernárdez, Guillermo, et al.
Published: (2024)
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
by: Zhou, Ziang, et al.
Published: (2024)
by: Zhou, Ziang, et al.
Published: (2024)
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
by: Zheng, Haoran, et al.
Published: (2025)
by: Zheng, Haoran, et al.
Published: (2025)
A Geometry-Aware Message Passing Neural Network for Modeling Aerodynamics over Airfoils
by: Helwig, Jacob, et al.
Published: (2024)
by: Helwig, Jacob, et al.
Published: (2024)
Neural Message-Passing on Attention Graphs for Hallucination Detection
by: Frasca, Fabrizio, et al.
Published: (2025)
by: Frasca, Fabrizio, et al.
Published: (2025)
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024)
by: Hajij, Mustafa, et al.
Published: (2024)
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
by: Taraday, Mitchell Keren, et al.
Published: (2024)
by: Taraday, Mitchell Keren, et al.
Published: (2024)
Entropy Aware Message Passing in Graph Neural Networks
by: Nazari, Philipp, et al.
Published: (2024)
by: Nazari, Philipp, et al.
Published: (2024)
Similar Items
-
A General Framework for Robust G-Invariance in G-Equivariant Networks
by: Sanborn, Sophia, et al.
Published: (2023) -
Attending to Topological Spaces: The Cellular Transformer
by: Ballester, Rubén, et al.
Published: (2024) -
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
by: Papillon, Mathilde, et al.
Published: (2024) -
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
by: Papillon, Mathilde, et al.
Published: (2024) -
Ordered Topological Deep Learning: a Network Modeling Case Study
by: Bernárdez, Guillermo, et al.
Published: (2025)