logo
ResearchBunny Logo
Accelerating network layouts using graph neural networks

Computer Science

Accelerating network layouts using graph neural networks

C. Both, N. Dehmamy, et al.

Discover how Csaba Both, Nima Dehmamy, Rose Yu, and Albert-László Barabási have used Graph Neural Networks to revolutionize network visualization, achieving remarkable speed improvements for large networks while enhancing layout informativity.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Perovskite synthesizability using graph neural networks
Chemistry

Perovskite synthesizability using graph neural networks

G. H. Gu, J. Jang, et al.

Identifying mental health status using deep neural network trained by visual metrics
Medicine and Health

Identifying mental health status using deep neural network trained by visual metrics

S. B. Shafiei, Z. Lone, et al.

Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data
Medicine and Health

Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data

A. V. Hilten, J. V. Rooij, et al.

Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks
Engineering and Technology

Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks

M. Movahhedi, X. Liu, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny