Tech blog
Show category:
-
All
{
AI
AI Agent
Artificial Intelligence
Business insights
Category 1
Category 2
Category 3
Classification
Classifier
Fraud
Generative AI
Geometric deep learning
Large language models
Machine learning
Market segmentation
Named Entity Recognition
Natural language processing
NLP
Object detection
Recommendation System
Retrieval Augmented Generation
Segmentation
Sentiment Analysis
Speech Recognition
Supply Chain
Synthetic data
Topic Modeling
User Engagement
User segmentation
December 27, 2020
Graph neural networks
Graph Neural Networks (GNNs) are neural network architectures that learn on graph-structured data. In recent years, GNN's have rapidly improved in terms of ease-of-implementation and performance, and more success stories being reported. In this post, we will briefly introduce these networks, their development, and the features that have lead to their success.
We will dive deeper into three use-cases, citation networks and drug discovery, using the package Deep graph library (DGL), and e-commerce using Pytorch geometric.
Read more