🧠 Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs (NeurIPS 2024)
👥 Presented by Franziska Heeg (JMU Würzburg)
🧠 Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs (NeurIPS 2024)
👥 Presented by Franziska Heeg (JMU Würzburg)
@netsciconf.bsky.social in Maastricht, June 2-6.
We welcome contributed presentations on CSS research using understudied social network data (not X, Facebook etc.!): galeale.github.io/UNCSS/
@netsciconf.bsky.social in Maastricht, June 2-6.
We welcome contributed presentations on CSS research using understudied social network data (not X, Facebook etc.!): galeale.github.io/UNCSS/
http://link.aps.org/doi/10.1103/PhysRevResearch.5.043203
http://link.aps.org/doi/10.1103/PhysRevResearch.5.043203
http://link.aps.org/doi/10.1103/PhysRevResearch.5.043187
http://link.aps.org/doi/10.1103/PhysRevResearch.5.043187
osf.io/preprints/ps...
With @baronca.bsky.social @jurgenpfeffer.bsky.social and others.
Some highlights 👇
osf.io/preprints/ps...
With @baronca.bsky.social @jurgenpfeffer.bsky.social and others.
Some highlights 👇
www.mdsi.tum.de/mdsi/log2023/
Organized by Ingo Scholtes, Bastian Rieck, and Stephan Günnemann.
www.mdsi.tum.de/mdsi/log2023/
Organized by Ingo Scholtes, Bastian Rieck, and Stephan Günnemann.
journals.plos.org/climate/arti...
With @baronca.bsky.social and others great researchers!
journals.plos.org/climate/arti...
With @baronca.bsky.social and others great researchers!