Dataset for the paper "3D Convolutional Neural Networks to Predict Guest Diffusion in Metal--Organic Frameworks"
Martin Bliek, William Xu, Arthur Hardiagon, François‐Xavier Coudert
Martin Bliek, William Xu, Arthur Hardiagon, François‐Xavier Coudert
We present a Graph Neural Network (GNN) framework for the classification of finite groups according to their solvability. Using undirected Cayley graph representations, the proposed framework learns to distinguish solvable and non-solvable groups directly from structural graph in…
Dermatological disorders remain a significant global healthcare challenge, affecting millions of individuals and contributing to increased disease burden, particularly when delayed or inaccurate diagnosis affects treatment outcomes. Although artificial intelligence has demonstrat…
Charis E Shiny, S Annapurna, C Lakshana, Anusha Fakirappa Bogur, S Ramesh, G R Naik
Abstract: 5G is rolled out and next generation 6G networks are also being developed, ultra-low latency (URLL) communication as a standard is critical in supporting the plethora of applications, spanning autonomous vehicles, immersive extended reality experience, etc. However, tra…
Manuel Ricardo Pérez Reyes, Marco Javier Suárez Barón, Oscar García-Cabrejo, Octavio Castillo-Reyes
Open-source framework for monthly precipitation prediction in mountainous areas using hybrid deep learning. The framework provides reference implementations for eight model families and a uniform training, evaluation, and benchmarking pipeline: ConvLSTM family — baseline, bidirec…
Qingqing Hao, Jun Zhang, M H Zhao, Min Wang, Fanglin Guan, Jiangwei Yan
OverviewThis repository contains the code and processed datasets for the manuscript: “Graph convolutional network model of CD4+ T cells provides an optimal single-cell clock for human age prediction”.This study demonstrates that utilizing single-cell Graph Convolutional Networks…