Paper accepted at KDD 2025

Our paper “HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection” has beeen accepted at KDD 2025, taking place in Toronto, Canada from August 2-7 this year.

HLSAD is a novel event and change-point detection algorithm for time-evolving simplicial complexes. It leverages the Hodge Laplacian to capture higher-order topological features and detect anomalies in the dynamic data by analyzing the evolution of the Hodge Laplacian spectrum. We show the effectiveness of out approach for both graph-lifting and inherently higher-order scenarios.

The preprint is available on arXiv and source code on GitLab.