Search Results - "Aktas, Mehmet Emin"
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Identifying critical higher-order interactions in complex networks
Published in Scientific reports (28-10-2021)“…Diffusion on networks is an important concept in network science observed in many situations such as information spreading and rumor controlling in social…”
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Journal Article -
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Proximity-Based Compression for Network Embedding
Published in Frontiers in big data (26-01-2021)“…Network embedding that encodes structural information of graphs into a low-dimensional vector space has been proven to be essential for network analysis…”
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Journal Article -
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Exploring Similarity-Based Graph Compression for Efficient Network Analysis and Embedding
Published in 2024 33rd International Conference on Computer Communications and Networks (ICCCN) (29-07-2024)“…Network analysis is an emerging field with a wide spectrum of applications across many disciplines such as social networks, computer networks, and healthcare…”
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Conference Proceeding -
4
Classification of Turkish makam music: a topological approach
Published in Journal of mathematics and music (Society for Mathematics and Computation in Music) (04-05-2019)“…In this paper, we study Turkish makam music, a system of varied melodies and chords, computationally. Our main goal is to classify the makams using their…”
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5
Differential transcriptional regulation by alternatively designed mechanisms: A mathematical modeling approach
Published in In silico biology (2017)“…Cells maintain cellular homeostasis employing different regulatory mechanisms to respond external stimuli. We study two groups of signal-dependent…”
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Topology Of N-Gonal Curve Complements
Published 2017“…This thesis has two parts. The first part concerns topological invariants of the n-gonal plane curves. Our first result is an application of Krammer…”
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Dissertation -
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Network Embedding: on Compression and Learning
Published in 2019 IEEE International Conference on Big Data (Big Data) (01-12-2019)“…Recently, network embedding that encodes structural information of graphs into a vector space has become popular for network analysis. Although recent methods…”
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Conference Proceeding -
8
Hypergraph Laplacians in Diffusion Framework
Published 17-02-2021“…Networks are important structures used to model complex systems where interactions take place. In a basic network model, entities are represented as nodes, and…”
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Journal Article -
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Text Classification via Network Topology: A Case Study on the Holy Quran
Published in 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) (01-12-2019)“…Due to the growth in the number of texts and documents available online, machine learning based text classification systems are getting more popular recently…”
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Conference Proceeding -
10
Liars are more influential: Effect of Deception in Influence Maximization on Social Networks
Published 21-03-2022“…Detecting influential users, called the influence maximization problem on social networks, is an important graph mining problem with many diverse applications…”
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Journal Article -
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Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation
Published 14-10-2023“…Hypergraphs, with their capacity to depict high-order relationships, have emerged as a significant extension of traditional graphs. Although Graph Neural…”
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Journal Article -
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Homology Preserving Graph Compression
Published in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (01-12-2021)“…Recently, topological data analysis (TDA) that studies the shape of data by extracting its topological features has become popular in applied network science…”
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Conference Proceeding -
13
Graph Classification via Heat Diffusion on Simplicial Complexes
Published 26-06-2020“…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…”
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Journal Article -
14
Dessins d'Enfants of Trigonal Curves
Published 29-06-2017“…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…”
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Journal Article -
15
Influential nodes detection in complex networks via diffusion Fréchet function
Published in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (01-12-2021)“…Identifying influential nodes in a complex network is an important graph mining problem with many diverse applications such as information propagation, market…”
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Conference Proceeding -
16
Hypergraph Classification via Persistent Homology
Published 20-06-2023“…Persistent homology is a mathematical tool used for studying the shape of data by extracting its topological features. It has gained popularity in network…”
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Journal Article -
17
Influence Maximization on Hypergraphs via Similarity-based Diffusion
Published in 2022 IEEE International Conference on Data Mining Workshops (ICDMW) (01-11-2022)“…Influence maximization is an important problem in network science that aims to detect critical structures, such as nodes and interactions, with a higher…”
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Conference Proceeding -
18
Identifying critical higher-order interactions in complex networks
Published 06-05-2021“…Information diffusion on networks is an important concept in network science observed in many situations such as information spreading and rumor controlling in…”
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Journal Article -
19
Persistence Homology of Networks: Methods and Applications
Published 19-07-2019“…Information networks are becoming increasingly popular to capture complex relationships across various disciplines, such as social networks, citation networks,…”
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Journal Article -
20
A polynomial invariant for plane curve complements: Krammer polynomials
Published 18-07-2017“…We use the Krammer representation of the braid group in Libgober's invariant and construct a new multivariate polynomial invariant for curve complements:…”
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Journal Article