![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
LGAT: a light graph attention network focusing on message passing for semi-supervised node classification
Deep learning has shown superior performance in various applications. The emergence of graph convolution neural networks (GCNs) enables deep learning to learn the latent representation from graph-structured da...
-
Article
Attention-based graph neural networks: a survey
Graph neural networks (GNNs) aim to learn well-trained representations in a lower-dimension space for downstream tasks while preserving the topological structures. In recent years, attention mechanism, which i...
-
Chapter and Conference Paper
Trigger-Assisted Ambidextrous Control Framework for Teleoperation of Two Legged Manipulators
This paper presents a motion-capture based control framework for the purpose of effectively teleoperating two legged manipulators without significant delays caused by the switching of controllers. The control ...
-
Chapter and Conference Paper
Teleoperating a Legged Manipulator Through Whole-Body Control
In this work, we present a highly functional teleoperation system, that integrates a full-body inertia-based motion capture suit and three intuitive teleoperation strategies with a Whole-Body Control (WBC) fra...
-
Chapter and Conference Paper
Application Analysis of Blockchain in the Field of Finance
In response to the impact of technology, financial institutions quickly seized the opportunity. Following the wave, financial technology was born. This article starts from the background of financial technolog...
-
Chapter and Conference Paper
Self-Adaptive Frequency Scaling Architecture for Intrusion Detection System
Recently, Intrusion Detection Systems (IDS) have been deployed in the Internet for information security. Nevertheless, with the growing of Internet traffic, IDS becomes increasingly complicated and consumes mu...
-
Chapter and Conference Paper
An Agent Based Intelligent Meta Search Engine
Addressing the problems that available search engines seldom consider the personalized needs of users with low precision rate and the discrete retrieval results, an Agent-based intelligent meta-search engine m...