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Linux Journal7y
ONNX: the Open Neural Network Exchange Format
A casual user of a deep learning framework may think of it as a language for specifying a neural network ... an ONNX model file also can be awkward in some frameworks because it relies on a rigid ...
Ophthalmology Times11d
ARVO 2025: Using graph neural networks to differentiate between fast and slow glaucoma progressors
At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...
Phys.org2y
From ancient minerals to new materials: Melting temperature prediction using a graph neural network model
More information: Melting temperature prediction using a graph neural network model: From ancient minerals to new materials, Proceedings of the National Academy of Sciences (2022). DOI ...
ascopubs.org1y
A transfer learning-based graph neural network model using mIF images to predict neoadjuvant immunochemotherapy response in patients with gastrointestinal cancer.
Natural language processing for automated breast cancer recurrence detection and classification in computed tomography reports. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I.
Tech Xplore on MSN15d
Graph neural networks show promise for detecting money laundering and collusion in transaction webs
A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...