Martin Rosvall
@mrosvall.bsky.social
Professor of physics in Integrated Science Lab, IceLab, Umeå University.
For the passion of revealing stories in relational data, we study information flows through social and biological systems to comprehend their inner workings.
For the passion of revealing stories in relational data, we study information flows through social and biological systems to comprehend their inner workings.
We claim that insights from network science can advance deep graph learning in arxiv.org/abs/2502.01177 A fun and enlightening collaboration with Chris Blöcker, Ingo Scholtes, and @jevinwest.bsky.social
February 6, 2025 at 7:58 AM
We claim that insights from network science can advance deep graph learning in arxiv.org/abs/2502.01177 A fun and enlightening collaboration with Chris Blöcker, Ingo Scholtes, and @jevinwest.bsky.social
We construct concise networks from path
data. Interpolating between first and second-order models, the networks capture critical memory effects using a minimal number of interpretable state nodes. Great collaboration with @is-this-rohit.bsky.social and @lambiotte.bsky.social arxiv.org/pdf/2501.08302
data. Interpolating between first and second-order models, the networks capture critical memory effects using a minimal number of interpretable state nodes. Great collaboration with @is-this-rohit.bsky.social and @lambiotte.bsky.social arxiv.org/pdf/2501.08302
January 15, 2025 at 10:47 PM
We construct concise networks from path
data. Interpolating between first and second-order models, the networks capture critical memory effects using a minimal number of interpretable state nodes. Great collaboration with @is-this-rohit.bsky.social and @lambiotte.bsky.social arxiv.org/pdf/2501.08302
data. Interpolating between first and second-order models, the networks capture critical memory effects using a minimal number of interpretable state nodes. Great collaboration with @is-this-rohit.bsky.social and @lambiotte.bsky.social arxiv.org/pdf/2501.08302