Mastodawn

Graphblas algorithms is a collection of GraphBLAS algorithms written using python-graphblas. It can be used directly or as a backend for NetworkX. It's fast, very fast.
#GraphAnalytics
https://github.com/python-graphblas/graphblas-algorithms

Orbifold Consulting Oct 23

Graph analytics delight: emotion regulation as a transdiagnostic link between ADHD and depression symptoms.
https://capmh.biomedcentral.com/articles/10.1186/s13034-025-00966-6
#Graphs #GraphAnalytics

Pushkarprabhat Saxena Nov 5, 2024

𝐇𝐨𝐰 𝐆𝐫𝐚𝐩𝐡 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐢𝐬 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐄𝐇𝐑 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐟𝐨𝐫 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞

Precision medicine relies on understanding individual variability in genetics and environment. Graph analytics offers a unique way to map these factors within Electronic Health Records (EHRs), helping care providers predict how different patients will respond to treatments.

#PrecisionMedicine #GraphAnalytics #EHR #PersonalizedCare #HealthcareInnovation

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Annual Computer Security Applications Conference Jun 20, 2024

Second in the session was Wang & Wang's "Link Membership Inference Attacks against Unsupervised Graph Representation Learning," which investigates privacy vulnerabilities in UGRL models. (https://www.acsac.org/2023/program/final/s57.html) 3/4
#UnsupervisedLearning #PrivacyInAI #GraphAnalytics

ACSAC2023 Program – powered by OpenConf

Anita Graser 🇪🇺🇺🇦🇬🇪Nov 5, 2023

Exploring a hierarchical #graph-based model for #mobilitydata representation and analysis

Today's post is a first quick dive into #Neo4J (really just getting my toes wet). It's based on a publicly available Neo4J dump containing #mobility data, ship trajectories to be specific.

#MobilityDataScience #MovementDataAnalytics #GraphAnalytics

http://anitagraser.com/2023/11/05/exploring-a-hierarchical-graph-based-model-for-mobility-data-representation-and-analysis/

Exploring a hierarchical graph-based model for mobility data representation and analysis

Today’s post is a first quick dive into Neo4J (really just getting my toes wet). It’s based on a publicly available Neo4J dump containing mobility data, ship trajectories to be specific…

Free and Open Source GIS Ramblings

Anita Graser 🇪🇺🇺🇦🇬🇪Oct 25, 2023

Dabbling in #neo4j today, exploring Maryam M. Elayam's hierarchical graph-based model for mobility data https://zenodo.org/records/6405212

#MovementDataAnalytics #MobilityDataScience #GraphDatabase #GraphAnalytics

A hierarchical graph-based model for mobility data representation and analysis

Hierarchical representations of transportation networks should provide a better understanding of mobility patterns and the underlying structures at various abstraction levels. A hierarchical graph-based model allows representing moving objects and trajectories according to multiple spatial, temporal and semantic scales. The latter model is implemented here in a Neo4j graph database (version 4.4.0) and experimented with historical maritime data covering Brittany Bay in France.

Zenodo

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Anita Graser 🇪🇺🇺🇦🇬🇪Mar 28, 2023

@IvanSanchez @jeremy
+1 that's the way to go. Would love to see a blog post on using the #pgrouting or #qgis plug-in solution

#gischat #graphanalytics