MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Tiledesk's open-source visual, no-code designer where LLM/GPT AI meets a flexible 'graph' approach. Create conversations and automations effortlessly – a Voiceflow and Botpress alternative.

A benchmarking toolkit for comparing Kruskal's and Prim's minimum spanning tree algorithms across various graph configurations, with visualization tools and performance analysis reports.

April 14, 2025 – Genome Research (https://genome.org) publishes a second special issue highlighting advances in long-read sequencing applications in biology and medicine. In this second Special Issue, ...

The system divides 3D space into "cells" and treats each cell as a node in a graph network. It uses transformer-based graph neural networks to capture spatial relationships between neighboring cells, ...

The team's software, developed in collaboration with Pometry, a spin-out company from Queen Mary University, uses graph network analysis to visualize and interpret complex trading data.

Subject-specific Skills: On completion of the module, students will be able to demonstrate: an ability to implement and use common data structures an ability to select, apply and analyse algorithms.