Entropy Guided Semi-Supervised Graph Coarsening

Subhanu Halder, Manoj Kumar, Sandeep Kumar

Action editor: Qitian Wu

https://openreview.net/forum?id=xZAwzxUP7c

#supervised #regularized #graphs

New #TMLR-Paper-with-Video:

Graph Generation via Temporal-Aware Biased Walks

Resul Tugay, Eren Olug, Elif Ak, Kiymet Kaya, Şule Gündüz Öğüdücü

https://tmlr.infinite-conf.org/paper_pages/lDnMlhk3aw

#networks #graphs #nodes

GraphedInEllipses

#mathart #mathober #mathober5 #Inellipses #Mathober2026

Code #Python

Blog/Code/More Images: blog.illestpreacha.com/mathober2026...

#Graphs #Kcyclic #DataArt #Ellipses

New feature @irishpollingind.bsky.social: you can now explore election results and polling estimates from 1987 to 2026 interactively. Select one or more parties to check how their (combined) support has changed. The graph also lists cabinets and government composition.

pollingindicator.com/#graphs

GraphKOverLoad

#mathart #mathober #mathober9 #Mathober2026

Code #Python

Blog/Code/More Images: blog.illestpreacha.com/mathober2026...

#Graphs #Kcyclic #DataViz #DataARt #illestpreacha

I've finished "Agentic GraphRAG: Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI" (www.amazon.es/Agentic-Grap...) by Anthony Alzaraz & @samjulien.com Deep, rigurous, architecture-oriented with some code. #libros #books #AgenticAI #Graphs #KnowledgeGraphs #GraphRAG

Hi everyone,

This infographic, titled "Women in Gaming," was created in InDesign as part of my Fall 2025 Data Visualization class. It includes data focusing on women in the video game industry.
1. Final infographic; 2. Sketches; 3. Digital rough; 4. Revised comp. #graphicdesign #gaming #graphs

Apache Spark: Solving your problems the wrong, but massively parallel, way.

#ApacheSpark #PostgreSQL #Graphs

"Mediators, confounders, colliders – a crash course in causal inference", by @florianhartig.bsky.social (2019): theoreticalecology.wordpress.com/2019/04/14/m... 🧵

#policy #intervention #graphs #causality #causalInference #stats #statistics #counterFactuals #probabilities #ecology #confounding

"Mediators, confounders, colliders – a crash course in causal inference"
by Florian Hartig (2019): https://theoreticalecology.wordpress.com/2019/04/14/mediators-confounders-colliders-a-crash-course-in-causal-inference/ 🧵

#policy #intervention #graphs #causality […]

[Original post on hachyderm.io]

FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks

Syed A Rizvi, Nazreen Pallikkavaliyaveetil MohammedSheriff, David Zhang et al.

Action editor: Zhengzhang Chen

https://openreview.net/forum?id=fj7sjOwtXc

#attention #graphs #graph

Where Y

#Math #Graphs #Coordinates #Puns #X

https://sciencehumor.io/math-memes/where-y-hqm9

“This shift, which happened in the mid 2010s, is brought out beautifully in #graphs by #KarlSchamotta, whose work I want to highlight in this post along with that by old Chartbook-friend Brad Setser.” adamtooze.substack.com/p/chartbook-...
@karl-schamotta.bsky.social #USdollar #reservecurrency

Lost in Aggregation: On a Fundamental Expressivity Limit of Message-Passing Graph Neural Networks

Eran Rosenbluth

Action editor: Mahito Sugiyama

https://openreview.net/forum?id=F4OlpAJ0o2

#graphs #complexity #aggregations

I've just finished "Essential GraphRAG: Knowledge Graph-Enhanced RAG" (www.amazon.es/Essential-Gr...) by Tomaz Bratanic & Oskar Hane #libros #books #KnowledgeGraphs #Grafos #Graphs #RAG #RetrievalAugmentedGeneration #GenAI #AI

In two weeks from now, I’ll be speaking at @javaforumnord.bsky.social about modelling in graph databases! I am really looking forward to it as it is my first time there!
#graphs #java #conferences #softwareengineering