v1v2 (latest)

MagNet: A Neural Network for Directed Graphs

Neural Information Processing Systems (NeurIPS), 2021

22 February 2021

Papers citing "MagNet: A Neural Network for Directed Graphs"

26 / 76 papers shown

Title
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 212 36 0 11 Feb 2023
GRANDE: a neural model over directed multigraphs with application to anti-money launderingIndustrial Conference on Data Mining (IDM), 2022 Ruofan Wu Boqun Ma Hong Jin Wenlong Zhao Weiqiang Wang Tianyi Zhang 116 2 0 04 Feb 2023
Transformers Meet Directed GraphsInternational Conference on Machine Learning (ICML), 2023 Simon Geisler Yujia Li D. Mankowitz A. Cemgil Stephan Günnemann Cosmin Paduraru 287 47 0 31 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation Taewook Ko Yoonhyuk Choi Chong-Kwon Kim 148 3 0 12 Jan 2023
Dirac signal processing of higher-order topological signalsNew Journal of Physics (NJP), 2023 Lucille Calmon Michael T. Schaub G. Bianconi 234 34 0 12 Jan 2023
Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata Patrick M. Soga David Chiang 230 0 0 13 Dec 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node ClassificationEuropean Conference on Artificial Intelligence (ECAI), 2022 Moshe Eliasof E. Haber Eran Treister GNN 163 0 0 29 Nov 2022
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing C. Cui Yumo Yao Chunyun Zhang Hebo Ma Yuling Ma Zhaochun Ren Chen Zhang James Ko AI4Ed 176 56 0 23 Nov 2022
Recommending Related Products Using Graph Neural Networks in Directed Graphs Srinivas Virinchi Anoop Saladi Abhirup Mondal 139 12 0 18 Nov 2022
Improving Graph Neural Networks with Learnable Propagation OperatorsInternational Conference on Machine Learning (ICML), 2022 Moshe Eliasof Lars Ruthotto Eran Treister 200 26 0 31 Oct 2022
Transformers over Directed Acyclic GraphsNeural Information Processing Systems (NeurIPS), 2022 Yu Luo Veronika Thost Lei Shi GNN AI4CE 490 28 0 24 Oct 2022
A Magnetic Framelet-Based Convolutional Neural Network for Directed GraphsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Lequan Lin Junbin Gao GNN 209 17 0 20 Oct 2022
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed LaplacianLOG IN (LOG IN), 2022 Yixuan He Michael Perlmutter Gesine Reinert Mihai Cucuringu 199 36 0 01 Sep 2022
A Graph Convolution for Signed Directed Graphs Taewook Ko Chong-Kwon Kim 215 5 0 23 Aug 2022
Geometric Scattering on Measure SpacesApplied and Computational Harmonic Analysis (ACHA), 2022 Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 473 22 0 17 Aug 2022
Signed Graph Neural Networks: A Frequency Perspective Rahul Singh Yongxin Chen 122 12 0 15 Aug 2022
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs Ciwan Ceylan Kambiz Ghoorchian Danica Kragic 116 1 0 20 Jul 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 218 67 0 22 Jun 2022
SigMaNet: One Laplacian to Rule Them AllAAAI Conference on Artificial Intelligence (AAAI), 2022 Stefano Fiorini Stefano Coniglio Michele Ciavotta Enza Messina 206 30 0 26 May 2022
A Simple Yet Effective SVD-GCN for Directed Graphs Chunya Zou Andi Han Lequan Lin Junbin Gao GNN 170 10 0 19 May 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 443 31 0 06 Apr 2022
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs Koby Hayashi Sinan G. Aksoy Ha-Myung Park 91 7 0 02 Mar 2022
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed GraphsLOG IN (LOG IN), 2022 Yixuan He Xitong Zhang Junjie Huang Benedek Rozemberczki Mihai Cucuringu Gesine Reinert 375 25 0 22 Feb 2022
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs Jie M. Zhang Bo Hui P. Harn Minmin Sun Wei-Shinn Ku 173 9 0 14 Oct 2021
Unraveling the graph structure of tabular data through Bayesian and spectral analysis B. M. F. Resende Eric K. Tokuda L. D. F. Costa CML 207 3 0 04 Oct 2021
DIGRAC: Digraph Clustering Based on Flow ImbalanceLOG IN (LOG IN), 2021 Yixuan He Gesine Reinert Mihai Cucuringu AI4CE 373 15 0 09 Jun 2021