Abstract: A dynamic graph (DG) is frequently encountered in numerous real-world scenarios. Consequently, A dynamic graph convolutional network (DGCN) has been successfully applied to perform precise ...
Research code for semantic segmentation of 3D plant point clouds using geometric deep learning, developed in collaboration with Oak Ridge National Laboratory.
Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...
Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
1 School of Resources and Environment, Xizang Agriculture and Animal Husbandry University, Nyingchi, Xizang, China 2 Department of Mechanical Engineering, Taiyuan Institute of Technology, TaiYuan, ...
Large Language Models (LLMs) have revolutionized many areas of natural language processing, but they still face critical limitations when dealing with up-to-date facts, domain-specific information, or ...
This repository explores what pruning of neural networks is and how to apply it using pyTorch. For this purpose a very small ResNet10 has been chosen, trained with FashionMNIST. In unstructured ...
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