Democratizing Graph Machine Learning with Low-code — Graph Machine Learning (ML) is a rapidly growing area of machine learning. It has attracted a large number of people from various domains ranging from social science to chemistry, biology, physics, and e-commerce. The reason behind this is the fact that Graph-structured data is ubiquitous. Today, many real-world applications are…

In this blog post, we will build a complete movie recommendation application using ArangoDB and PyTorch Geometric. We will tackle the challenge of building a movie recommendation application by transforming it into the task of link prediction. …

Summary In this blog post, we are going to build a complete Graph Machine Learning application starting from training a GraphSage algorithm; an Inductive Representation Learning method on large graphs. For a practical application, we are going to use the popular PyTorch Geometric and Open-Graph-Benchmark libraries. We will be using…

Outline This blog post provides a comprehensive study of the theoretical and practical understanding of GraphSage which is an inductive graph representation learning algorithm. For a practical application, we are going to use the popular PyTorch Geometric library and Open-Graph-Benchmark dataset. We use the ogbn-products dataset which is an undirected and…

In this blog post, we deep dive into the graph machine learning universe starting with the personal gist of how I came to know about this exciting area, then some motivation about the graphs i.e how important the graph data structure is, afterward we will see some applications of graph…

SUMMARY In this blog post, We examine Nvidia’s Triton Inference Server (formerly known as TensorRT Inference Server) which simplifies the deployment of AI models at scale in production. For the purpose of this examination, we mainly focus on hosting Transformer Language Models like BERT, GPT2, BART, RoBerta , etc. Afterward, to…

A brief description of DATASET: In this post, I will show you how to obtain near state of the art performance on Sentinel-2 satellite images (RGB color space) provided within the scope of the Earth observation program Copernicus. This post is a small part of my project (Mapping Infrastructure and…