MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian

1 September 2022

Papers citing "MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian"

7 / 7 papers shown

Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 27 0 0 02 May 2025
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 38 1 0 09 Oct 2024
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings Nikolaos Nakis Chrysoula Kosma Giannis Nikolentzos Michalis Chatzianastasis Iakovos Evdaimon Michalis Vazirgiannis 28 1 0 16 Sep 2024
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network Tatyana Benko Martin Buck Ilya Amburg Stephen J. Young Sinan G. Aksoy 19 3 0 15 Feb 2024
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs Stefano Fiorini Stefano Coniglio Michele Ciavotta Enza Messina GNN 16 5 0 28 Dec 2023
Structural Balance and Random Walks on Complex Networks with Complex Weights Yu Tian R. Lambiotte 11 10 0 04 Jul 2023
SDGNN: Learning Node Representation for Signed Directed Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng 23 81 0 07 Jan 2021