Invited Talks
1. [Keynote] Network Science meeting Deep Graph Learning: Challenges and Opportunities
HONAI 2025: Higher-Order Networks meets AI Satellite @ NetSci 2025, Maastricht, the Netherlands. June 2025.
Contributed Talks
14. The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
NeurIPS 2024, Vancouver, Canada. December 2024.
13. [Spotlight] Comparing Hierarchical Network Partitions Based on Relative Entropy
The Third Learning on Graphs Conference, Online. November 2024.
12. Comparing Hierarchical Network Partitions Based on Relative Entropy
LoG Local Meetup, Aachen, Germany. November 2024.
11. Flow Divergence: Comparing Maps of Flows with Relative Entropy
NetSci, Québec City, Canada. June 2024.
10. Mapping Flows on Complex Networks with Graph Neural Networks
NetSciX, Venice, Italy. January 2024.
9. The Map Equation Goes Neural: Mapping Flows on Complex Networks with Graph Neural Networks
LoG Local Meetup, München, Germany. December 2023.
8. Sampling Networks from Modular Compression of Network Flows
NetSci, Vienna, Austria. July 2023.
7. Python in a Week – Conceptual Tests for Learning and Course Development
The \(19^{th}\) International CDIO Conference, Trondheim, Norway. June 2023.
6. Similarity-based Link Prediction from Modular Compression of Network Flows
LoG Local Meetup, Würzburg, Germany. December 2022.
5. Node similarities and link prediction from modular compression of network flows
NetSciX, Online. February 2022.
4. Map Equation Centrality: A Map Equation-based Community-Aware Centrality Score
NetSciX, Online. February 2022.
3. Mapping flows on bipartite networks
NetSci, Online. July 2020.
2. Mapping flows on bipartite networks
NetSciX, Tokyo, Japan. January 2020.
1. The Bipartite Map Equation
Mediterranean School of Complex Networks, Salina, Sicily, Italy. September 2019.
Posters
6. Flow Divergence: Comparing Hierarchical Network Partitions based on Relative Entropy
Christopher Blöcker, Ingo Scholtes
The Fourth Learning on Graphs Conference, Phoenix, United States. December 2025.
5. The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
Christopher Blöcker, Chester Tan, Ingo Scholtes
NeurIPS, Vancouver, Canada. December 2024.
4. Comparing Hierarchical Network Partitions Based on Relative Entropy
Christopher Blöcker, Ingo Scholtes
LoG Local Meetup, Aachen, Germany. November 2024.
3. Sampling Networks from Modular Compression of Network Flows
Christopher Blöcker, Jelena Smiljanić, Martin Rosvall, Ingo Scholtes
The Second Learning on Graphs Conference, Online. December 2023.
2. Similarity-based Link Prediction from Modular Compression of Network Flows
Christopher Blöcker, Jelena Smiljanić, Ingo Scholtes, Martin Rosvall
The First Learning on Graphs Conference, Online. December 2022.
1. Map Equation Centrality: A Map Equation-based Community-Aware Centrality Score
Christopher Blöcker, Juan Carlos Nieves Sanchez, Martin Rosvall
WASP Winter Conference, Online. January 2022.