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Awesome q-bio.TO β curated papers, datasets & benchmarks Β· Awesome Graph Learning
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q-bio.TO
7 papers tagged q-bio.TO β re-sort below
Papers
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7 papers Β· trending (default)
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BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
(2025)
Amaya Gallagher-Syed et al.
1.06
Network community structure and resilience to localized damage: application to brain microcirculation
(2021)
Florian Goirand et al.
β
Deep Contextual Learners for Protein Networks
(2021)
Michelle M. Li et al.
β
A Survey on Graph-Based Deep Learning for Computational Histopathology
(2021)
David Ahmedt-Aristizabal et al.
β
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation
(2021)
Camillo Saueressig et al.
β
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
(2024)
Siemen Brussee et al.
β
Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling
(2024)
Stathis Megas et al.
β