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https://arxiv.org/abs/2006.08816v6 [2006.08816v6] Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment Abstract page for arXiv paper 2006.08816v6: Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment signed graph metric learning gershgorin disc 2006 https://openreview.net/forum?id=RZveYHgZbu Signed Graph Neural Networks: A Frequency Perspective | OpenReview Graph convolutional networks (GCNs) and its variants are designed for unsigned graphs containing only positive links. Many existing GCNs have been derived from... graph neural networks signed frequency perspective openreview https://openreview.net/forum?id=KUGwmnSdPV3&referrer=%5Bthe%20profile%20of%20Yixuan%20He%5D(%2Fprofile%3Fid%3D~Yixuan_He2) MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian | OpenReview We devise a novel magnetic signed Laplacian for signed directed networks and propose a GNN method based on that. graph neural network based on novel https://openreview.net/forum?id=3CcP3VI6LW Nonlinear Laplacians Improve Signed-Directed Graph Learning | OpenReview While signed-directed graphs have been studied using linear Laplacians in the design of graph neural networks, relatively little research has focused on... directed graph nonlinear improve signed learning