A new AI method uses Graphical Mutual Information to learn powerful graph embeddings without labels, outperforming top unsupervised models. https://hackernoon.com/a-new-way-to-train-ai-on-graph-data-without-supervision #graphneuralnetworks
A New Way to Train AI on Graph Data Without Supervision | HackerNoon

A new AI method uses Graphical Mutual Information to learn powerful graph embeddings without labels, outperforming top unsupervised models.

2026 marks the turning point: adaptive Graph Neural Networks are finally joining forces with Large Language Models beyond the lab, powering context‑aware AI in real‑world enterprises. Discover how GNN‑LLM integration reshapes AI pipelines, boosts adaptability, and delivers open‑source‑friendly solutions for businesses. #GraphNeuralNetworks #LargeLanguageModels #AdaptiveAI #EnterpriseAI

🔗 https://aidailypost.com/news/2026-marks-shift-adaptive-gnnllm-integration-from-labs-enterprise

Neo4j’s new graph‑neural fraud detector hits a solid ROC AUC, but its default threshold flags every transaction as suspicious. The paper walks through the confusion matrix, real‑time constraints, and how tweaking thresholds can restore balance. Open‑source fans will love the dive into practical GNN tuning. Curious? Read on for the full breakdown. #Neo4j #GraphNeuralNetworks #FraudDetection #ROCcurve

🔗 https://aidailypost.com/news/neo4j-graph-neural-fraud-detector-shows-strong-roc-yet-labels-all

🌿 Can graph neural networks be taught to think in the language of chemistry?

🔗 Leveraging molecular graphs for natural product classification. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.08.031

📚 CSBJ: https://www.csbj.org/

#AI #DrugDiscovery #GraphNeuralNetworks #NaturalProducts #DeepLearning #Cheminformatics

'GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia', by Carlo Lucibello, Aurora Rossi.

http://jmlr.org/papers/v26/24-2130.html

#graphneuralnetworks #graphs #graph

🧬 Ready for AI to crack the RNA-disease code?

🔗 GL4SDA: Predicting snoRNA-disease associations using GNNs and LLM embeddings. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.03.014

📚 CSBJ: https://www.csbj.org/

#AIinBiomedicine #GraphNeuralNetworks #LLM #ncRNA #snoRNA #CancerResearch #Bioinformatics #PrecisionMedicine #XAI #Genomics

Tenemos cita el 20 de febrero 🔥 Nos vemos en BBVA AI Factory para hablar embeddings para contratación financiera y de redes neuronales de grafos. Estamos probando @guild.host, ¡reserva tu plaza aquí! 👇 guild.host/events/embed... #PyData #PyDataMadrid #python #embeddings #GraphNeuralNetworks

📄 Embeddings para contratación...
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An introduction to graph neural networks, with a section on "where to find them", that does not mention at all neural circuits or connectomes. WTF.

https://distill.pub/2021/gnn-intro/

#GraphNeuralNetworks #GNN #ComputerScience #neuroscience

A Gentle Introduction to Graph Neural Networks

What components are needed for building learning algorithms that leverage the structure and properties of graphs?

Distill

Gentle Introduction to Graph Neural Networks
https://distill.pub/2021/gnn-intro/
https://news.ycombinator.com/item?id=42468214
https://en.wikipedia.org/wiki/Graph_neural_network

* specialized artificial neural networks designed for tasks whose inputs are graphs
* GNN use pairwise message passing
* graph nodes iteratively update their representations by exchanging information w. their neighbors

#ML #ANN #NeuralNetworks #graphs #GraphNeuralNetworks #GNN #RepresentationLearning

A Gentle Introduction to Graph Neural Networks

What components are needed for building learning algorithms that leverage the structure and properties of graphs?

Distill