research
∙
07/07/2023
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
Graph neural network (GNN) has gained increasing popularity in recent ye...
share
research
∙
03/22/2023
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
Knowledge graph embedding (KGE) that maps entities and relations into ve...
research
∙
10/31/2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks
Heterogeneous graph neural network has unleashed great potential on grap...
research
∙
07/03/2021
Too Expensive to Attack: Enlarge the Attack Expense through Joint Defense at the Edge
The distributed denial of service (DDoS) attack is detrimental to busine...
research
∙
04/29/2021
Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey
Robotic applications nowadays are widely adopted to enhance operational ...
research
∙
04/05/2021
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
The rapid development of artificial intelligence, especially deep learni...
research
∙
04/01/2021
Too Expensive to Attack: A Joint Defense Framework to Mitigate Distributed Attacks for the Internet of Things Grid
The distributed denial of service (DDoS) attack is detrimental to busine...
research
∙
11/12/2020
A Fast and Scalable Authentication Scheme in IoT for Smart Living
Numerous resource-limited smart objects (SOs) such as sensors and actuat...
research
∙
06/04/2019
