Search Results for author: Albert-László Barabási

Found 8 papers, 3 papers with code

Hidden Citations Obscure True Impact in Science

no code implementations24 Oct 2023 Xiangyi Meng, Onur Varol, Albert-László Barabási

References, the mechanism scientists rely on to signal previous knowledge, lately have turned into widely used and misused measures of scientific impact.

Interpretable Machine Learning

Neuroscience needs Network Science

no code implementations10 May 2023 Dániel L Barabási, Ginestra Bianconi, Ed Bullmore, Mark Burgess, SueYeon Chung, Tina Eliassi-Rad, Dileep George, István A. Kovács, Hernán Makse, Christos Papadimitriou, Thomas E. Nichols, Olaf Sporns, Kim Stachenfeld, Zoltán Toroczkai, Emma K. Towlson, Anthony M Zador, Hongkui Zeng, Albert-László Barabási, Amy Bernard, György Buzsáki

We explore the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease, and discuss the potential for collaboration between network science and neuroscience communities.

Network medicine framework reveals generic herb-symptom effectiveness of Traditional Chinese Medicine

no code implementations18 Jul 2022 Xiao Gan, Zixin Shu, Xinyan Wang, Dengying Yan, Jun Li, Shany ofaim, Réka Albert, XiaoDong Li, Baoyan Liu, Xuezhong Zhou, Albert-László Barabási

We validate our framework with real-world hospital patient data by showing that (1) shorter network distance between symptoms of inpatients correlates with higher relative risk (co-occurrence), and (2) herb-symptom network proximity is indicative of patients' symptom recovery rate after herbal treatment.

3D Topology Transformation with Generative Adversarial Networks

no code implementations7 Jul 2020 Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino

Finally, we compare the results between our approach and a baseline algorithm that directly convert the 3D shapes, without using our GAN.

Finding Patient Zero: Learning Contagion Source with Graph Neural Networks

no code implementations21 Jun 2020 Chintan Shah, Nima Dehmamy, Nicola Perra, Matteo Chinazzi, Albert-László Barabási, Alessandro Vespignani, Rose Yu

% We observe that GNNs can identify P0 close to the theoretical bound on accuracy, without explicit input of dynamics or its parameters.

Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19

2 code implementations15 Apr 2020 Deisy Morselli Gysi, Ítalo Do Valle, Marinka Zitnik, Asher Ameli, Xiao Gan, Onur Varol, Susan Dina Ghiassian, JJ Patten, Robert Davey, Joseph Loscalzo, Albert-László Barabási

The current pandemic has highlighted the need for methodologies that can quickly and reliably prioritize clinically approved compounds for their potential effectiveness for SARS-CoV-2 infections.

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