← Search

Abdulkadir Celikkanat

3 accepted papers

2024

Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning

NeurIPS 2024spotlight

Obtaining effective representations of DNA sequences is crucial for genome analysis. Metagenomic binning, for instance, relies on genome representations to cluster complex mixtures of DNA fragments from biological samples with the aim of determining their microbial compositions. In this paper, we re…

2024

Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model

AISTATS 2024poster

Understanding the structure and dynamics of scientific research, i.e., the science of science (SciSci), has become an important area of research in order to address imminent questions including how scholars interact to advance science, how disciplines are related and evolve, and how research impact…

Cited by 0SourcePDFScholar
2023

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model

AISTATS 2023poster

Graph representation learning has become a prominent tool for the characterization and understanding of the structure of networks in general and social networks in particular. Typically, these representation learning approaches embed the networks into a low-dimensional space in which the role of eac…