Network Embedding By Diffusion
Network Embedding By Diffusion is a network embedding method that generates low-dimensional vector representations of nodes by preserving the multi-step diffusion dynamics inherent in the network structure, thereby capturing both local and global connectivity patterns through the propagation of information across edges.
9
Publications
612
Citations
39
Authors
24
Institutions
Publications per year
2017–2026
8
Parents
9
Learning Structural Node Embeddings via Diffusion Wavelets
Claire Donnat, Marinka Žitnik, David Hallac et al. · 2018 · 384 citations · Full text
Computing, Data Science, Data Mining +14
Network-Based Asymmetry of the Human Auditory System
Bratislav Mišić, Richard F. Betzel, Alessandra Griffa et al. · Cerebral Cortex · 2018 · 82 citations · Full text
1–5 of 9
39
2
h-index
2
h-index
2
h-index
2
h-index
University Medical Center Utrecht, Netherlands
2 publications · 99 citations
2
h-index
1–5 of 39
24
University of Pennsylvania
Philadelphia, United States
3 h-index
3 publications
124 citations
University Medical Center Utrecht
Utrecht, The Netherlands
2 h-index
5 publications
215 citations

McGill University
Montreal, Canada
2 h-index
4 publications
198 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
4 publications
198 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
3 publications
181 citations
Montreal Neurological Institute and Hospital
Montreal, Canada
2 h-index
4 publications
198 citations
Institute of Psychology, Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
198 citations

Xiangtan University
Xiangtan, China
1 h-index
2 publications
54 citations
1–8 of 24
Repository · 2 publications · 48 citations
2
h-index
1 publications · 13 citations
1
h-index
1 publications · 82 citations
1
h-index
1 publications · 22 citations
1
h-index
1 publications · 27 citations
1
h-index
1–5