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#recommender-systems
fromInfoQ
5 days ago
Marketing tech

Reimagining Platform Engagement with Graph Neural Networks

Graph neural networks can enhance recommender systems by personalizing content and optimizing for long-term user engagement.
fromInfoQ
7 months ago
Software development

InfoQ Dev Summit Munich 2025: Master the 'How' with Deep-Dive, Practitioner-Led Guidance

Senior engineers prioritize technical depth and mastering implementation patterns to build resilient, scalable systems with technical excellence rather than speed-driven shortcuts.
Marketing tech
fromInfoQ
5 days ago

Reimagining Platform Engagement with Graph Neural Networks

Graph neural networks can enhance recommender systems by personalizing content and optimizing for long-term user engagement.
fromInfoQ
7 months ago
Software development

InfoQ Dev Summit Munich 2025: Master the 'How' with Deep-Dive, Practitioner-Led Guidance

more#recommender-systems
Medicine
fromMedium
1 week ago

Why Text-Only RAG Falls Short in Healthcare - and How GraphRAG Can Help

GraphRAG architecture enhances clinical reasoning in healthcare by integrating knowledge graphs, GNNs, and agents for better data governance and explainability.
Artificial intelligence
fromTelecompetitor
1 month ago

Google Cloud announces new Agentic AI tools for telecom companies

Google Cloud enhances Cloud Spanner Graph and Vertex AI to enable telecom networks to deploy autonomous AI agents for real-time network management and intelligent decision-making.
fromHackernoon
5 years ago

Teaching Old Preconditioners New Tricks: How GNNs Supercharge Linear Solvers | HackerNoon

Recent advancements suggest that employing small Graph Neural Networks to craft preconditioners could significantly enhance performance while preserving necessary sparsity, thereby optimizing computational efficacy.
Artificial intelligence
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