Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Pharvaris' innovative approach to treating hereditary angioedema (HAE) with deucrictibant. Read here for an investment ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

When the Abbott government was elected in a landslide at the 2013 election winning 90 out of 150 lower house seats, it ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

I’ve been conducting a large-scale bibliometric study on publicly available Chinese academic literature related to hacking and crashing Western power grids. In this article, I’m sharing the main ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

LLM-based frameworks are enabling highly structured financial analyses by integrating diverse data sources into sophisticated decision pipelines. One of the most notable cases is MarketSenseAI, which ...

Nowadays, many computer and communication systems generate graph data. Graph data span many different domains, ranging from online social network data from networks like Facebook to epidemiological ...