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
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.
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