@inproceedings{de7a0b0af0bb4bf0b16faf894aefcd07,
title = "LDPC decoder based on a minimalist bipartite GCN",
abstract = "This paper proposes a Low-Density Parity-Check (LDPC) decoder based on a minimalist bipartite graph convolutional neural network (GCN). The proposed method has been validated in a 16QAM coherent optical communication simulation system.",
keywords = "GCN, LDPC, bipartite GNN, decoder",
author = "Yiqun Pan and Qinghua Tian and Fangxu Yang and Feng Tian and Fu Wang and Leijing Yang and Qi Zhang and Xiangjun Xin",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 23rd International Conference on Optical Communications and Networks, ICOCN 2025 ; Conference date: 28-07-2025 Through 31-07-2025",
year = "2025",
doi = "10.1109/ICOCN67308.2025.11145491",
language = "English",
series = "2025 23rd International Conference on Optical Communications and Networks, ICOCN 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 23rd International Conference on Optical Communications and Networks, ICOCN 2025",
address = "United States",
}