We’re living in a time where education is being completely reimagined — not just through online courses or digital whiteboards, but by technologies that understand how we learn. Two of the most ...

Abstract: Graphs are essential to improve the performance of graph-based machine learning methods, such as spectral clustering. Various well-designed methods have been proposed to learn graphs that ...

In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP). These ...

A Graph is a data structure that models objects and pairwise relationships between them with nodes and edges. For example: Users and friendships, locations and paths between them, parents and children ...

Abstract: Factor graphs, initially developed as probabilistic graphical models, have been widely employed for solving large-scale inference problems in robotics, particularly in tasks such as pose ...