Learn whether a smaller Diffbot’s AI model with an innovative GraphRAG AI training technology can solve AI hallucinations for ...

A Heterogeneous Graph Transformer (HGT)-based model for protein function prediction using biological knowledge graphs and protein language models ...

“We are building out a knowledge graph,” said CEO Tarjei Vassbotn in ... On the back of a popular closed beta and word of mouth, Tana claims it has already managed to pick up 160,000 users ...

Have you ever wondered how search engines seem to anticipate your every query, how streaming platforms curate playlists that perfectly match your mood, or how online marketplaces magically fill in ...

Our goal is to build a high-performance Knowledge Graph tailored for Large Language Models (LLMs), prioritizing exceptionally low latency to ensure fast and efficient information delivery through our ...

“We are building out a knowledge graph,” said CEO Tarjei Vassbotn in an interview ... On the back of a popular closed beta and word of mouth, Tana claims that it has already managed to pick up 160,000 ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

SAP's new AI-driven data platform integrates SAP and non-SAP data, breaks silos, and enables next-gen automation with Joule ...

Owing to the strength in learning representation of the high-order connectivity of graph neural networks (GNN), GNN-based collaborative filtering has been widely adopted in recommender systems.

According to a recent entry to the Microsoft 365 Roadmap, developers can add extra information, such as files in PDF, Word, or PowerPoint formats ... developers to choose specific Graph connectors to ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...