Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Sergio Rozada

Sergio Rozada

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2ML×2Stats ML×1

Frequent co-authors

Alejandro Ribeiro2×
Yiming Qin1×
Manuel Madeira1×
Pascal Frossard1×
Shervin Khalafi1×
Igor Krawczuk1×

Research Timeline

2026
Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

This paper introduces Spectral Attention and Graph Convolutional Attention (GCA) for denoising graphs, which outperforms linear attention and provably utilizes the input graph spectrum.

DiPhon: Diffusion on Graphons for Scalable Graph Generation

This paper introduces DiPhon, a diffusion framework for size-scalable graph generation, using a continuous diffusion process on the graphon space and a discretized graph-level process.

Highlighted terms show continued research focus across papers

Papers

stat.MLcs.AIcs.LGTheoreticalRecentJul 8, 2026

DiPhon: Diffusion on Graphons for Scalable Graph Generation

Sergio Rozada, Yiming Qin, Manuel Madeira, Pascal Frossard +1 more

This paper introduces DiPhon, a diffusion framework for size-scalable graph generation, using a continuous diffusion process on the graphon space and a discretized graph-level process.

View →
cs.LGcs.AIEmpirical
Recent
Jul 7, 2026

Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

Shervin Khalafi, Igor Krawczuk, Sergio Rozada, Charilaos Kanatsoulis +2 more

This paper introduces Spectral Attention and Graph Convolutional Attention (GCA) for denoising graphs, which outperforms linear attention and provably utilizes the input graph spectrum.

View →