Lane, "Brp- nas: Prediction-based nas using gcns," in Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin, Eds., vol. 33. Curran Associates, Inc., 2020, pp. 10 480– 10 490. [58] F. Pedregosa, G. Varoquaux,...
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search(ICLR20) BRP-NAS: Prediction-based NAS using GCNs(NeurIPS20) HAT: Hardware Aware Transformers for Efficient Natural Language Processing(ACL20) Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets(ICLR...
A regression model based on graph neural network, tailored for electric circuit dynamics prediction is introduced, providing converter performance predicti
In addition, GCNs can handle non-Euclidean data formats, such as scenarios where pedestrians are dispersed across a scene, which cannot be represented using a grid-like structure. However, they can only handle short-term sequences and do not perform well when applied to regression tasks. Table...
Recently, neural network-based approaches have become popular for KGE due to their ability to capture complex and non-linear relationships within the graph data. As an illustration, KGNN [16] takes a different approach by incorporating GCNs with neighborhood sam- pling, enabling the explicit ...
S.K. Mylonas, A. Axenopoulos, P. Daras DeepSurf: a surface-based deep learning approach for the prediction of ligand binding sites on proteins. Bioinformatics, 37 (12) (2021), pp. 1681-1690 10.1093/bioinformatics/btab009 33471069 CrossrefView in ScopusGoogle Scholar 3. M.N. Wass, L....
Struct2Graph [71], a method for predicting PPIs using only protein 3D structural data, is a mutual attention classifier based on graph convolutional networks (GCNs). First, two protein maps are mapped into real-valued embeddings using concurrent GCNs and then combined through a mutual attention ...
sustainability Article GIS-Based Seismic Hazard Prediction System for Urban Earthquake Disaster Prevention Planning Yongmei Zhai 1, Shenglong Chen 1,* and Qianwen Ouyang 2 1 Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China; zymww@tongji.edu.cn 2 Sugou...
pharmaceuticals Article In Silico Prediction of Novel Inhibitors of SARS-CoV-2 Main Protease through Structure-Based Virtual Screening and Molecular Dynamic Simulation Sobia Ahsan Halim 1,*, Muhammad Waqas 1,2, Ajmal Khan 1 and Ahmed Al-Harrasi 1,* 1 Natural and Medical Sciences Research Center,...