Steinar Laenen
Affiliation: Oxford Research Group, FiveAI; previously MSc student at the University of Edinburgh (during the work of entities/Laenen Sun 2020 Higher-Order Spectral Clustering).
Email: steinar.laenen@five.ai / steinar9@gmail.com
Contributions to this wiki
- Lead author of entities/Laenen Sun 2020 Higher-Order Spectral Clustering (NeurIPS 2020) — first paper providing Cheeger-style theoretical guarantees for directed-graph spectral clustering under general (non-DSBM) settings, via the Hermitian Laplacian L_G = I - D^{-1/2} A D^{-1/2} with k-th root of unity phase encoding.
The Hermitian Laplacian framework has been adopted as an alternative to entities/Mihai Cucuringu's Hermitian adjacency in financial lead-lag applications (entities/Bennett Cucuringu Reinert 2022 Lead-Lag Network Clustering §3.3 cites this as an alternative).
Research themes
- Directed graph clustering with theoretical guarantees
- Spectral sparsification for nearly-linear time graph algorithms
- Higher-order network structure (ordered chain topology in clusters)
See also
- entities/He Sun — co-author and PhD supervisor at Edinburgh
- summaries/202012-higher-order-spectral-clustering-directed-graphs/202012-higher-order-spectral-clustering-directed-graphs — paper summary
- Hermitian Laplacian / Flow Ratio (chain objective) / Spectral Sparsification