As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

Independent Research Firm Identifies Multimodel Data Platforms (MMDPs) as “The Missing Layer in Your AI Stack” for AI and Agentic ArchitecturesSAN FRANCISCO & COLOGNE, Germany--(BUSINESS ...

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

NATO nation scrambles fighter jets after large-scale Russian strikes Poker player with 'incredible hand' wins big at Washington casino. See the cards Rosie O’Donnell’s life in exile IRS whistleblowers ...

1 School of Computer Engineering, Suzhou Polytechnic University, Suzhou, China 2 College of Science Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China The proliferation of digital ...

Graph-level clustering is a fundamental task of data mining, aiming at dividing unlabeled graphs into distinct groups. However, existing deep methods that are limited by pooling have difficulty ...

I’m using the LightRAG GitHub code (latest main branch) with Azure OpenAI LLM and embeddings, connected to a PostgreSQL database. I have successfully uploaded several documents into the Knowledge Base ...

ON SEPTEMBER 10th Charlie Kirk, a right-wing activist, was shot dead while speaking at a university in Utah. Although a suspect is in custody, the motive of the killer is still unknown. President ...

MSRGNN is a unified model for solving various Abstract Visual Reasoning (AVR) tasks, consisting of a multi-scale panel-level feature extractor and a relational GNN reasoning module. MSRGNN/ ├── ...