Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs

28 December 2023

Papers citing "Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs"

5 / 5 papers shown

Title
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 110 0 0 28 Nov 2024
Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-view Images M. Toso Stefano Fiorini Stuart James Alessio Del Bue 64 0 0 19 Nov 2024
DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions Stefano Fiorini Giulia M. Bovolenta Stefano Coniglio Michele Ciavotta Pietro Morerio Michele Parrinello Alessio Del Bue GNN AI4CE 95 0 0 09 Oct 2024
SDGNN: Learning Node Representation for Signed Directed Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng 29 83 0 07 Jan 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016