EMP: Effective Multidimensional Persistence for Graph Representation Learning

no code implementations • 24 Jan 2024 • Ignacio Segovia-Dominguez, Yuzhou Chen, Cuneyt G. Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer

This framework empowers the exploration of data by simultaneously varying multiple scale parameters.

Graph Classification Graph Representation Learning +1

Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity

no code implementations • 21 Oct 2021 • Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael Garay, Daniel Crichton, Rishabh Wagh, Yulia R. Gel

As multiple adverse events in 2021 illustrated, virtually all aspects of our societal functioning -- from water and food security to energy supply to healthcare -- more than ever depend on the dynamics of environmental factors.

Smart Vectorizations for Single and Multiparameter Persistence

1 code implementation • 10 Apr 2021 • Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel

We derive theoretical guarantees on the stability of the new saw and multi-persistence grid functions and illustrate their applicability for graph classification tasks.

Anomaly Detection Graph Classification +1