A new study in Nature Communications explores the dynamics of higher-order novelties, identifying fascinating patterns in how ...

Coined by geographers and theorists in mid 1990s, the term 'knowledge economy' captures the shift from resource-based and industrial economies to those where intellectual capital and technology ...

Figure 1. This figure shows an example of a natural language question, its corresponding SPARQL query and a section of a knowledge graph with the classes and properties used in the SPARQL query. LLMs ...

In this paper, we propose a Memory-Aware Graph Interactive Causal Network (MagicNet) that considers both temporal and spatial dependencies in financial documents and introduces causality-based ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China ...