activity
20162026
most citedHypergraph Classification via Persistent Homology

1 citations · 1 across the 10 of their papers we have counts for

collaborators

16 papers

math.KT2026

The K-theory of uniform Roe algebras for coarse structures generated by finite-rank free abelian subgroups

Charles Fanning, Mehmet Emin Aktas

For a uniformly locally finite coarse space , the uniform Roe algebra is the operator norm closure of the controlled operators on . The -theory of unifo…

math.FA2026

On the Spectral Synthesis of Lipschitz Vectorizations of Persistence Diagrams

Charles Fanning, Mehmet Emin Aktas

Persistence diagrams are fundamental descriptors in topological data analysis. Many statistical and machine learning methods require persistence diagrams to be mapped into vector s…

math.AT2026

Square Metric Spaces

Charles Fanning, Mehmet Aktas

Product decompositions of metric spaces are built from coordinate maps, but these maps are not part of the resulting metric space. We recover this missing coordinate structure thro…

cs.CG2026

Higher-order Persistence Diagrams

Charles Fanning, Mehmet Aktas

Many topological data analysis (TDA) pipelines compute large collections of persistence diagrams, yet vectorizations and kernel methods discard the rank-induced implication relatio…

math.PR2026

Random Walks on Virtual Persistence Diagrams

Charles Fanning, Mehmet Aktas

In the uniformly discrete case of virtual persistence diagram groups , we construct a translation-invariant heat semigroup. The kernels are supported on a countable subgrou…

cs.LG2023

Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation

Khaled Mohammed Saifuddin, Mehmet Emin Aktas, Esra Akbas

Hypergraphs, with their capacity to depict high-order relationships, have emerged as a significant extension of traditional graphs. Although Graph Neural Networks (GNNs) have remar…

math.AT2023★ 1 cited

Hypergraph Classification via Persistent Homology

Mehmet Emin Aktas, Thu Nguyen, Rakin Riza +2

Persistent homology is a mathematical tool used for studying the shape of data by extracting its topological features. It has gained popularity in network science due to its applic…

cs.SI2022

Liars are more influential: Effect of Deception in Influence Maximization on Social Networks

Mehmet Emin Aktas, Esra Akbas, Ashley Hahn

Detecting influential users, called the influence maximization problem on social networks, is an important graph mining problem with many diverse applications such as information p…

cs.SI2021

Identifying critical higher-order interactions in complex networks

Mehmet Emin Aktas, Thu Nguyen, Sidra Jawaid +2

Information diffusion on networks is an important concept in network science observed in many situations such as information spreading and rumor controlling in social networks, dis…

cs.SI2021

Hypergraph Laplacians in Diffusion Framework

Mehmet Emin Aktas, Esra Akbas

Networks are important structures used to model complex systems where interactions take place. In a basic network model, entities are represented as nodes, and interaction and rela…

cs.SI2020

Graph Classification via Heat Diffusion on Simplicial Complexes

Mehmet Emin Aktas, Esra Akbas

In this paper, we study the graph classification problem in vertex-labeled graphs. Our main goal is to classify the graphs comparing their higher-order structures thanks to heat di…

math.AT2019

Persistence Homology of Networks: Methods and Applications

Mehmet Emin Aktas, Esra Akbas, Ahmed El Fatmaoui

Information networks are becoming increasingly popular to capture complex relationships across various disciplines, such as social networks, citation networks, and biological netwo…

cs.SI2019

Network Embedding: on Compression and Learning

Esra Akbas, Mehmet Aktas

Recently, network embedding that encodes structural information of graphs into a vector space has become popular for network analysis. Although recent methods show promising perfor…

math.AG2017

A polynomial invariant for plane curve complements: Krammer polynomials

Mehmet Emin Aktas, Serdar Cellat, Hubeyb Gurdogan

We use the Krammer representation of the braid group in Libgober's invariant and construct a new multivariate polynomial invariant for curve complements: Krammer polynomial. We sho…

math.AG2017

Dessins d'Enfants of Trigonal Curves

Mehmet Emin Aktas

In this paper, we focus on properties of dessins d'enfants associated to trigonal curves. Degtyarev studied dessins d'enfants to compute braid monodromies and fundamental groups of…

math.AT2016

Computing the Braid Monodromy of Completely Reducible -gonal Curves

Mehmet Aktas, Esra Akbas

Braid monodromy is an important tool for computing invariants of curves and surfaces. In this paper, the \emph{rectangular braid diagram (RBD)} method is proposed to compute the br…