Abdullah Karaaslanli

Orcid: 0000-0003-4814-0128

According to our database1, Abdullah Karaaslanli authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multiview Graph Learning with Consensus Graph.
CoRR, 2024

2023
Kernelized multiview signed graph learning for single-cell RNA sequencing data.
BMC Bioinform., December, 2023

Multiple Signed Graph Learning for Gene Regulatory Network Inference.
Proceedings of the IEEE International Conference on Acoustics, 2023

Dynamic Signed Graph Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

STADS: Spatial Transcriptomics to Aid Drug-reposition Recommendation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Explainability in Graph Data Science: Interpretability, replicability, and reproducibility of community detection.
IEEE Signal Process. Mag., 2022

scSGL: kernelized signed graph learning for single-cell gene regulatory network inference.
Bioinform., 2022

Simultaneous Graph Signal Clustering and Graph Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Community Detection in Dynamic Networks: Equivalence Between Stochastic Blockmodels and Evolutionary Spectral Clustering.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Graph Learning From Noisy and Incomplete Signals on Graphs.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020
Constrained Spectral Clustering for Dynamic Community Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Strength Adjusted Multilayer Spectral Clustering.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018
Multi-modal Brain Tensor Factorization: Preliminary Results with AD Patients.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018


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