Graph-based Representation Learning for Spatial Cellular Communications - Qianqian Song - GLBIO2023

Stefanie Jegelka: Representation and Learning in Graph Neural NetworksПодробнее

Topology-Based Graph Representation LearningПодробнее

Graph Theory Blink 10 (3 rules of geometric deep learning: locality, aggregation, and composition).Подробнее

Systematic benchmarking of imaging spatial transcriptomics... - Ruixu Huang - CASO - GLBIO 2024Подробнее

MLGL-MP: A Multi-Label Graph Learning Framework... - Bing-Xue Du - TransMed - Poster - ISMB 2022Подробнее

Tutorial VT4: Towards Precision Medicine with Graph... - Li, Zitnik - Tutorial - ISMB 2022Подробнее

Graphlet Coefficient Vector: a comprehensive... - Gaia Ceddia - NetBio - Poster - ISMB/ECCB 2021Подробнее

Sign and Basis Invariant Networks for Spectral Graph Representation Learning | Lim & RobinsonПодробнее

Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive MedicineПодробнее

[SIGGRAPH Asia 2018] Simultaneous Acquisition of Polarimetric SVBRDF and NormalsПодробнее

Graph Neural Networks by Oleksandr Pryymak - LvDS 2020Подробнее

Integrated Molecular, Cellular and Spatial Analysis of the Mammalian BrainПодробнее

Analysis of Spatial Transcriptomics dataПодробнее

Graphical models in machine learning, networks and quantification – A. Bertozzi – ICM2018Подробнее

Arxiv Cluster of 125 pre-prints w/ Topic "Graph Neural Networks" visualized in 3D AI PyTorch JupyterПодробнее

MIA: Bo Xia, In silico screening for genome structure; Ruochi Zhang, graph representation learningПодробнее

Overview of web-based bioinformatics analyses using GalaxyПодробнее