Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach

1 code implementation • 15 Jun 2023 • Xiucheng Wang, Nan Cheng, Lianhao Fu, Wei Quan, Ruijin Sun, Yilong Hui, Tom Luan, Xuemin Shen

However, the dynamics of edge networks raise two challenges in neural network (NN)-based optimization methods: low scalability and high training costs.

Edge-computing Management

From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding

no code implementations • 22 Mar 2023 • Borui Cai, Yong Xiang, Longxiang Gao, Di wu, He Zhang, Jiong Jin, Tom Luan

To seek a simple strategy to improve the parameter efficiency of conventional KGE models, we take inspiration from that deeper neural networks require exponentially fewer parameters to achieve expressiveness comparable to wider networks for compositional structures.

Knowledge Distillation Knowledge Graph Embedding +2

Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach

1 code implementation • Remote Sensing 2022 • Xiucheng Wang, Lianhao Fu, Nan Cheng, Ruijin Sun, Tom Luan, Wei Quan, Khalid Aldubaikhy

In the training procedure, we design a reinforcement learning-based relay GNN (RGNN) to select the best relay path for each user.