Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

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

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

From text generation in academic settings to the ethical challenges of using artificial intelligence in the publishing ...

Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake information.

Abstract: The widespread dissemination of fake news on social media platforms has significantly disrupted people's daily lives, causing substantial inconvenience and loss. Although fake news detection ...

Ever Googled yourself and wished for that polished informational box to pop up on the results page? That’s a Google Knowledge Panel. More than just a helpful box on the search engine results page ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Google’s Knowledge Graph saw its largest contraction in a decade in June: a two-stage, one-week drop of 6.26% – over 3 billion entities deleted. Since 2015, we’ve tracked the Knowledge Graph and have ...

2022/09/18 Complex Temporal Question Answering on Knowledge Graphs Southwest Jiaotong University Code 2022/06/28 TempoQR: Temporal Question Reasoning over Knowledge Graphs University of Minnesota Code ...