2023年开始的一个新系列,主要是整理最新发表的Graph Neural Networks for Communication Networks (GNN4COMM)相关的最新文献,按月更新。这一期一共包括5篇期刊、0篇会议和8篇预印论文,其中0篇论文提供了开源代码和数据,希望能帮助到大家。更多的GNN4COMM相关论文可以查看我们的GitHub工程(github.com/jwwthu/GNN-C)。
2023年开始的一个新系列,主要是整理最新发表的Graph Neural Networks for Communication Networks (GNN4COMM)相关的最新文献,按月更新。这一期一共包括16篇期刊、1篇会议和0篇预印论文,其中3篇论文提供了开源代码和数据,希望能帮助到大家。更多的GNN4COMM相关论文可以查看我们的GitHub工程(github.com/jwwthu/GNN-C)...
Graph-based Deep Learning for Communication Networks: A Survey. Elsevier Computer Communications, 2021. [DOI] Jiang W. Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking. IEEE ACCESS, 2020. [paper] N. Vesselinova, R. Steinert, D. Perez-Ramirez, M. Boman. ...
Self-Supervised Learning of Graph Neural Networks: A unified view. TPAMI 2022. paper Yaochen Xie, Zhao Xu, Jingtun Zhang, Zhangyang Wang, Shuiwang Ji. Models Basic Models Supervised Neural Networks for the Classification of Structures. IEEE TNN 1997. paper Alessandro Sperduti and Antonina Starita...
I Security and Communication Networks i has retracted the article titled "A Graph Neural Network (GNN) Algorithm for Constructing the Evolution Process of Rural Settlement Morphology" [[1]] due to concerns that the peer review process has been compromised....
2.1. GNNs (graph neural networks) for psychiatric diagnosis 2.1.1. Graph neural networks Graphneural networks(GNNs) leverage the message-passing mechanism to efficiently propagate and aggregate information along the edges of an input graph, enabling the acquisition of expressive node representations (Ham...
Ma, Y., Liu, X., Shah, N., Tang, J.: Is homophily a necessity for graph neural networks? In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022. OpenReview.net, ??? (2022). https://openreview.net/forum?id=ucASPPD9GKN Hamilto...
Trust evaluation is critical for many applications such as cyber security, social communication, and recommender systems. Users and trust relationships among them can be seen as a graph. Graph neural networks (GNNs) show their powerful ability for analyzing graph-structural data. Very recently, ...
Shared Graph Neural Network for Channel Decoding With the application of graph neural network (GNN) in the communication physical layer, GNN-based channel decoding algorithms have become a research hotspo... Q Wu,BK Ng,CT Lam,... - Applied Sciences (2076-3417) 被引量: 0发表: 2023年 Multi...
2023年开始的一个新系列,主要是整理最新发表的Graph Neural Networks for Communication Networks (GNN4COMM)相关的最新文献,按月更新。这一期一共包括16篇期刊、0篇会议和5篇预印论文,其中5篇论文提供了开源代码和数据,希望能帮助到大家。更多的GNN4COMM相关论文可以查看我们的GitHub工程(github.com/jwwthu/GNN-C)...