Copertina

Generative Modelling of Structurally Constrained Graphs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Madeira, Manuel, Vignac, Clement, Thanou, Dorina, Frossard, Pascal
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DeFoG: Discrete Flow Matching for Graph Generation
di: Qin, Yiming, et al.
Pubblicazione: (2024)

Sparse Training of Discrete Diffusion Models for Graph Generation
di: Qin, Yiming, et al.
Pubblicazione: (2023)

Generating Directed Graphs with Dual Attention and Asymmetric Encoding
di: Carballo-Castro, Alba, et al.
Pubblicazione: (2025)

GrapHist: Graph Self-Supervised Learning for Histopathology
di: Öğüt, Sevda, et al.
Pubblicazione: (2026)

Causality-Driven Disentangled Representation Learning in Multiplex Graphs
di: Nasiri, Saba, et al.
Pubblicazione: (2026)

Graph-Dictionary Signal Model for Sparse Representations of Multivariate Data
di: Cappelletti, William, et al.
Pubblicazione: (2024)

Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins
di: Sun, Xiaowu, et al.
Pubblicazione: (2025)

ODySSeI: An Open-Source End-to-End Framework for Automated Detection, Segmentation, and Severity Estimation of Lesions in Invasive Coronary Angiography Images
di: Choudhary, Anand, et al.
Pubblicazione: (2026)

Causal Temporal Regime Structure Learning
di: Rahmani, Abdellah, et al.
Pubblicazione: (2023)

Bures-Wasserstein Means of Graphs
di: Haasler, Isabel, et al.
Pubblicazione: (2023)

Continuous Simplicial Neural Networks
di: Einizade, Aref, et al.
Pubblicazione: (2025)

PUMA: margin-based data pruning
di: Maroto, Javier, et al.
Pubblicazione: (2024)

Task Addition and Weight Disentanglement in Closed-Vocabulary Models
di: Hazimeh, Adam, et al.
Pubblicazione: (2025)

CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography
di: Challier, Camille, et al.
Pubblicazione: (2025)

Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
di: Rahmani, Abdellah, et al.
Pubblicazione: (2025)

Balancing Symmetry and Efficiency in Graph Flow Matching
di: Honoré, Benjamin, et al.
Pubblicazione: (2026)

Deep End-to-End Survival Analysis with Temporal Consistency
di: Vieyra, Mariana Vargas, et al.
Pubblicazione: (2024)

How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
di: Favero, Alessandro, et al.
Pubblicazione: (2025)

Model soups need only one ingredient
di: Abdollahpoorrostam, Alireza, et al.
Pubblicazione: (2026)

Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
di: Dimitriadis, Nikolaos, et al.
Pubblicazione: (2024)

MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
di: Wang, Ke, et al.
Pubblicazione: (2025)

Backdoor Unlearning by Linear Task Decomposition
di: Abdelraheem, Amel, et al.
Pubblicazione: (2025)

rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data
di: Xie, Yuhan, et al.
Pubblicazione: (2025)

Inductive Domain Transfer In Misspecified Simulation-Based Inference
di: Senouf, Ortal, et al.
Pubblicazione: (2025)

Graph Signal Separation with Learnable Spectral Filters
di: Niresi, Keivan Faghih, et al.
Pubblicazione: (2026)

Localizing Task Information for Improved Model Merging and Compression
di: Wang, Ke, et al.
Pubblicazione: (2024)

Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
di: Simon, Mathieu Cyrille, et al.
Pubblicazione: (2024)

Learning Boltzmann Generators via Constrained Mass Transport
di: von Klitzing, Christopher, et al.
Pubblicazione: (2025)

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
di: Van Assel, Hugues, et al.
Pubblicazione: (2024)

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
di: Wang, Ke, et al.
Pubblicazione: (2024)

Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling
di: Hazimeh, Adam, et al.
Pubblicazione: (2025)

GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning
di: Yu, Chuanyue, et al.
Pubblicazione: (2025)

Complex System Exploration with Interactive Human Guidance
di: Morel, Bastien, et al.
Pubblicazione: (2025)

Topology-Guided Quantum GANs for Constrained Graph Generation
di: Rohe, Tobias, et al.
Pubblicazione: (2025)

Sequential Physics-Constrained Neural Operator Forward Modeling for the $\textit{Norne}$ Reservoir System
di: Etienam, Clement, et al.
Pubblicazione: (2026)

Constrained Generative Modeling with Manually Bridged Diffusion Models
di: Naderiparizi, Saeid, et al.
Pubblicazione: (2025)

Reflected Schrödinger Bridge for Constrained Generative Modeling
di: Deng, Wei, et al.
Pubblicazione: (2024)

Manifold-Aware Perturbations for Constrained Generative Modeling
di: Keegan, Katherine, et al.
Pubblicazione: (2026)

Challenges of Generating Structurally Diverse Graphs
di: Velikonivtsev, Fedor, et al.
Pubblicazione: (2024)

Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels
di: Wang, Ke, et al.
Pubblicazione: (2023)