3 papers
cs.SI2026
Spectral clustering of time-evolving networks using spatio-temporal random walks
Filip BlaÅ¡koviÄ, Tim O. F. Conrad, Stefan Klus +1
Temporal (or time-evolving) networks provide a natural framework for modeling complex systems with time-dependent interactions, where understanding the evolution of community struc…
cs.SI2025
Random walk based snapshot clustering for detecting community dynamics in temporal networks
Filip BlaÅ¡koviÄ, Tim O. F. Conrad, Stefan Klus +1
The evolution of many dynamical systems that describe relationships or interactions between objects can be effectively modeled by temporal networks, which are typically represented…
cs.CL2024
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models
Sahar Iravani, Tim . O . F Conrad
Table processing, a key task in natural language processing, has significantly benefited from recent advancements in language models (LMs). However, the capabilities of LMs in tabl…