Ivan Laponogov

According to our database, Ivan Laponogov authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Graph neural network explanations reveal a topological signature of disease-associated hubs in biological networks.

Kyle Higgins, Ivan Laponogov, Dennis Veselkov, Kirill A. Veselkov

CoRR, May, 2026

PPI-Net connects molecular protein interactions to functional processes in disease.

Kyle Higgins, Guadalupe Gonzalez, Dennis Veselkov, Ivan Laponogov, Kirill A. Veselkov

CoRR, May, 2026

2024

Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes.

Luis Rita, Joshua Southern, Ivan Laponogov, Kyle Higgins, Kirill A. Veselkov

Mach. Learn. Knowl. Extr., 2024

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations.

Kyle Higgins, Olga P. Nyssen, Joshua Southern, Ivan Laponogov, Aida Consortium, Dennis Veselkov, Javier P. Gisbert, Tania Fleitas Kanonnikoff, Kirill A. Veselkov

CoRR, 2024

Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation.

Hamideh Kerdegari, Kyle Higgins, Dennis Veselkov, Ivan Laponogov, Inese Polaka, Miguel T. Coimbra, Junior Andrea Pescino, Marcis Leja, Mário Dinis-Ribeiro, Tania Fleitas Kanonnikoff, Kirill A. Veselkov

CoRR, 2024

2020

Graph Attentional Autoencoder for Anticancer Hyperfood Prediction.

Guadalupe Gonzalez, Shunwang Gong, Ivan Laponogov, Kirill A. Veselkov, Michael M. Bronstein

CoRR, 2020

2019

Learning interpretable disease self-representations for drug repositioning.

Fabrizio Frasca, Diego Galeano, Guadalupe Gonzalez, Ivan Laponogov, Kirill A. Veselkov, Alberto Paccanaro, Michael M. Bronstein

CoRR, 2019

2018

ChemDistiller: an engine for metabolite annotation in mass spectrometry.

Ivan Laponogov, Noureddin Sadawi, Dieter Galea, Reza Mirnezami, Kirill A. Veselkov

Bioinform., 2018

Exploiting and assessing multi-source data for supervised biomedical named entity recognition.

Dieter Galea, Ivan Laponogov, Kirill A. Veselkov

Bioinform., 2018

Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization.

Dieter Galea, Ivan Laponogov, Kirill A. Veselkov

Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018