A gentle introduction to Graph Neural Networks in Pytorch Geometric. Teaching material for machine learning on graphs' lectures and lab. sessions held for the i) Social Network Analysis course, Master ...

These utility functions are ideal for demonstration as they comprise a number of different graph-based subproblems, and thus demonstrate the usefulness of our method over a wide range.

The core of this patent lies in its ability to generate multimodal hybrid interview questions. The system dynamically generates personalized interview questions based on candidates' resumes and ...

Today, with the rapid development of big data, cloud computing, and intelligent technology, enterprise service models are constantly innovating. The smart customer service market is being awakened, ...

Introduction Paternal prepubertal passive smoke exposure may increase the risk of childhood asthma. However, its association ...

Introduction We propose a graph context-conditioned diffusion model called InstructG2I to generate images from multimodal attributed graphs (MMAGs). InstructG2I first exploits the graph structure and ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Introduction: The urgency and opportunity for sustainabilitySustainability has rapidly become a central focus in ...

Discover how a CIAM platform centralizes customer identities, eliminates data silos, and powers secure, personalized ...

PFIX provides convex exposure to rising long-term rates via payer swaptions, making it a strong hedge in volatile, steepening ...

At the beginning of August, Nigel Farage launched a six-week campaign on law and order. Standing in front of a lectern ...

Crohn’s disease is a chronic autoimmune inflammatory disorder affecting the gastrointestinal tract. It is characterized by a ...