Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Here are strategic revision techniques, important topics, diagram practice, and exam-day strategies to help CBSE Class 12 ...

Abstract: Graph Knowledge Distillation (GKD) has made remarkable progress in graph representation learning in recent years. Despite its great success, GKD often obeys the label-dependence manner, ...

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

GDF-MIL (Graph-Driven Fusion Multiple Instance Learning) is a novel graph-driven multi-instance learning framework that adaptively balances topology modeling and semantic feature preservation through ...

Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...

We structured the STRONG AYA case-mix and core outcome measures concepts and their properties as knowledge graphs. Having identified the corresponding standard terminologies, we developed a semantic ...