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scGCN is a graph convolutional networks algorithm for knowledge transfer in  single cell omics | Nature Communications
scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics | Nature Communications

A deep learning approach using graph convolutional networks for slope  deformation prediction based on time-series displacement data | SpringerLink
A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data | SpringerLink

Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial |  DataCamp
Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial | DataCamp

How Graph Neural Networks (GNN) work: introduction to graph convolutions  from scratch | AI Summer
How Graph Neural Networks (GNN) work: introduction to graph convolutions from scratch | AI Summer

Graphical Convolution Integral - YouTube
Graphical Convolution Integral - YouTube

Graph Neural Network and Some of GNN Applications: Everything You Need to  Know - neptune.ai
Graph Neural Network and Some of GNN Applications: Everything You Need to Know - neptune.ai

Practical High-Quality Electrostatic Potential Surfaces for Drug Discovery  Using a Graph-Convolutional Deep Neural Network | Journal of Medicinal  Chemistry
Practical High-Quality Electrostatic Potential Surfaces for Drug Discovery Using a Graph-Convolutional Deep Neural Network | Journal of Medicinal Chemistry

Benchmarking graph neural networks for materials chemistry | npj  Computational Materials
Benchmarking graph neural networks for materials chemistry | npj Computational Materials

Graphical Evaluation of Continuous-Time Convolution - YouTube
Graphical Evaluation of Continuous-Time Convolution - YouTube

A Comprehensive Introduction to Different Types of Convolutions in Deep  Learning | by Kunlun Bai | Towards Data Science
A Comprehensive Introduction to Different Types of Convolutions in Deep Learning | by Kunlun Bai | Towards Data Science

Understanding the receptive field of deep convolutional networks | AI Summer
Understanding the receptive field of deep convolutional networks | AI Summer

Could graph neural networks learn better molecular representation for drug  discovery? A comparison study of descriptor-based and graph-based models |  Journal of Cheminformatics | Full Text
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models | Journal of Cheminformatics | Full Text

Graph Convolutional Networks (GCN)
Graph Convolutional Networks (GCN)

Intuitively Understanding Convolutions for Deep Learning | by Irhum Shafkat  | Towards Data Science
Intuitively Understanding Convolutions for Deep Learning | by Irhum Shafkat | Towards Data Science

Imputing single-cell RNA-seq data by combining graph convolution and  autoencoder neural networks - ScienceDirect
Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks - ScienceDirect

kGCN: a graph-based deep learning framework for chemical structures |  Journal of Cheminformatics | Full Text
kGCN: a graph-based deep learning framework for chemical structures | Journal of Cheminformatics | Full Text

Remote Sensing | Free Full-Text | Attention Graph Convolution Network for  Image Segmentation in Big SAR Imagery Data | HTML
Remote Sensing | Free Full-Text | Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data | HTML

How to do Deep Learning on Graphs with Graph Convolutional Networks | by  Tobias Skovgaard Jepsen | Towards Data Science
How to do Deep Learning on Graphs with Graph Convolutional Networks | by Tobias Skovgaard Jepsen | Towards Data Science

Prediction of pharmacological activities from chemical structures with graph  convolutional neural networks | Scientific Reports
Prediction of pharmacological activities from chemical structures with graph convolutional neural networks | Scientific Reports

Graphical convolution example - YouTube
Graphical convolution example - YouTube

A comprehensive survey on graph neural networks - KDnuggets
A comprehensive survey on graph neural networks - KDnuggets

A graph convolutional neural network for classification of building  patterns using spatial vector data - ScienceDirect
A graph convolutional neural network for classification of building patterns using spatial vector data - ScienceDirect

Convolution calculator for neural networks | by Oliver K. Ernst, Ph.D. |  Practical coding | Medium
Convolution calculator for neural networks | by Oliver K. Ernst, Ph.D. | Practical coding | Medium

A Comprehensible Explanation of the Dimensions in CNNs | by Felizia  Quetscher | Towards Data Science
A Comprehensible Explanation of the Dimensions in CNNs | by Felizia Quetscher | Towards Data Science

Fast and Flexible Protein Design Using Deep Graph Neural Networks -  ScienceDirect
Fast and Flexible Protein Design Using Deep Graph Neural Networks - ScienceDirect

Remote Sensing | Free Full-Text | Attention Graph Convolution Network for  Image Segmentation in Big SAR Imagery Data | HTML
Remote Sensing | Free Full-Text | Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data | HTML

Dynamic graph convolutional network for assembly behavior recognition based  on attention mechanism and multi-scale feature fusion | Scientific Reports
Dynamic graph convolutional network for assembly behavior recognition based on attention mechanism and multi-scale feature fusion | Scientific Reports