Deep learning for drug repurposing: Methods, databases, and applications - Pan - - WIREs Computational Molecular Science - Wiley Online Library
How Graph Neural Networks (GNN) work: introduction to graph convolutions from scratch | AI Summer
Structure-based protein function prediction using graph convolutional networks | Nature Communications
Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial | DataCamp
Understanding the receptive field of deep convolutional networks | AI Summer
The architecture of the 20-layer CNN ResNet-like deep learning model.... | Download Scientific Diagram
geometric deep learning - How Graph Convolutional Neural Networks forward propagate? - Artificial Intelligence Stack Exchange
How Convolutional Layers Work in Deep Learning Neural Networks? - Hong Jing (Jingles)
Train Deep Learning Network with Nested Layers - MATLAB & Simulink
A Comprehensive Introduction to Different Types of Convolutions in Deep Learning | by Kunlun Bai | Towards Data Science
How Attention works in Deep Learning: understanding the attention mechanism in sequence models | AI Summer
Converting tabular data into images for deep learning with convolutional neural networks | Scientific Reports
Deep Learning Optical Spectroscopy Based on Experimental Database: Potential Applications to Molecular Design | JACS Au
Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions | SpringerLink
CNN for Deep Learning | Convolutional Neural Networks
How to do Deep Learning on Graphs with Graph Convolutional Networks | by Tobias Skovgaard Jepsen | Towards Data Science
kGCN: a graph-based deep learning framework for chemical structures | Journal of Cheminformatics | Full Text
Neural Network Calculator · Neural Network Calculator
Graph Neural Network and Some of GNN Applications: Everything You Need to Know - neptune.ai
Intuitively Understanding Convolutions for Deep Learning | by Irhum Shafkat | 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
