GAKR-GCL improves the effectiveness of knowledge graph embedding modules by comparing learning and graph attention networks, while utilizing adaptive gating mechanisms combined with graph attention ...

The study proposes a computer-assisted method of the adaptive learning plan. First, the knowledge graph technology is used to represent the semantics of course knowledge points; second, a recommended ...

Elephant Learning, a mathematics learning platform founded by Aditya Nagrath, PhD, is an innovator in this space. It utilizes advanced adaptive algorithms, aiming to redefine mathematics ...

it seems likely that knowledge graph technology will also evolve hand-in-hand. As well as being a useful format for feeding training data to algorithms, machine learning can quickly build and ...

An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks [Paper] [Code] (Arxiv 2019) Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training [Paper] [Code] ...

Though we're living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are ... to convert ...