Frontiers2d
High-Performance Graph Analytics: Bridging the Gap with Large Language Models
The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...
Brain-inspired neural networks reveal insights into biological basis of relational learning
Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...
VentureBeat1mon
Diffbot’s AI model doesn’t guess — it knows, thanks to a trillion-fact knowledge graph
Diffbot’s Knowledge Graph is a sprawling ... facts rather than attempting to encode all human knowledge in neural networks. “Not everyone’s going after just bigger and bigger models ...
When AI gets on your nerves: Physiologists use neural networks to analyze function of ion channels
Deep neural networks will allow signal ... the speed of analysis using deep neural networks. The first step involves ...
Quanta Magazine3y
Researchers Build AI That Builds AI
GHN-2 showcases the ability of graph neural networks to find patterns in complicated data ... and a model can learn how to transfer knowledge from one architecture to a different one,” said Kipf.