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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"

50 / 76 papers shown

Title
Gauge-Equivariant Graph Networks via Self-Interference Cancellation Yoonhyuk Choi Chong-Kwon Kim 108 0 0 20 Nov 2025
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion Cristina López Amado Tassilo Schwarz Yu Tian Renaud Lambiotte DiffM GNN 212 0 0 17 Nov 2025
Intransitive Player Dominance and Market Inefficiency in Tennis Forecasting: A Graph Neural Network Approach Lawrence Clegg John Cartlidge 42 0 0 23 Oct 2025
Toward General Digraph Contrastive Learning: A Dual Spatial Perspective Daohan Su Yang Zhang Xunkai Li Rong-Hua Li Guoren Wang 66 0 0 18 Oct 2025
Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks Islam A. Ebeid Haoteng Tang Pengfei Gu GNN 126 0 0 15 Oct 2025
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans Theo Di Piazza Carole Lazarus O. Nempont L. Boussel 161 0 0 12 Oct 2025
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs Emanuele Mule Stefano Fiorini Antonio Purificato F. Siciliano Stefano Coniglio Fabrizio Silvestri 113 1 0 06 Oct 2025
State Space Models over Directed Graphs Junzhi She Xunkai Li Rong-Hua Li Guoren Wang 148 0 0 17 Sep 2025
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs Arman Gupta Govind Waghmare Gaurav Oberoi Nitish Srivastava 64 0 0 31 Aug 2025
Directed Homophily-Aware Graph Neural Network Aihu Zhang Jiaxing Xu Mengcheng Lan Shili Xiang Yiping Ke 206 0 0 28 May 2025
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding Manuel Lecha Andrea Cavallo Francesca Dominici Ran Levi Alessio Del Bue Elvin Isufi Pietro Morerio Claudio Battiloro AI4CE 324 2 0 23 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Miao Hu Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 203 1 0 02 May 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and EmbeddingComputer Vision and Pattern Recognition (CVPR), 2025 Thomas Dagès Simon Weber Ya-Wei Eileen Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 395 2 0 23 Mar 2025
Understanding the Design Principles of Link Prediction in Directed SettingsThe Web Conference (WWW), 2025 Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 189 0 0 24 Feb 2025
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based ApproachThe Web Conference (WWW), 2025 Miao Hu Daohan Su Zhengyu Wu Guang Zeng Hongchao Qin Rong-Hua Li Guoren Wang AI4CE 234 2 0 21 Jan 2025
Higher-Order Topological Directionality and Directed Simplicial Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Manuel Lecha Andrea Cavallo Francesca Dominici Elvin Isufi Claudio Battiloro AI4CE 410 5 0 17 Jan 2025
Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction Claudio Moroni Claudio Borile Carolina Mattsson Michele Starnini Andre' Panisson 226 0 0 14 Dec 2024
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 306 0 0 28 Nov 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and InvarianceInternational Conference on Learning Representations (ICLR), 2024 Dominik Fuchsgruber Tim Poštuvan Stephan Günnemann Simon Geisler 237 3 0 22 Oct 2024
DiRW: Path-Aware Digraph Learning for Heterophily Daohan Su Miao Hu Zhenjun Li Yinping Liao Rong-Hua Li Guoren Wang 301 2 0 14 Oct 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 744 1 0 09 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 288 1 0 09 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational GraphLOG IN (LOG IN), 2024 Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 178 4 0 17 Sep 2024
GALLa: Graph Aligned Large Language Models for Improved Source Code UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Ziyin Zhang Hang Yu Shijie Li Peng Di Jianguo Li Rui Wang 396 8 0 06 Sep 2024
What Are Good Positional Encodings for Directed Graphs? Yinan Huang Haoyu Wang Pan Li 235 8 0 30 Jul 2024
End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence W. Ciezobka J. Falco-Roget C. Koba A. Crimi 148 3 0 17 Jul 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 466 3 0 30 Jun 2024
DUPLEX: Dual GAT for Complex Embedding of Directed GraphsInternational Conference on Machine Learning (ICML), 2024 Zhaoru Ke Hang Yu Jianguo Li Haipeng Zhang 266 11 0 08 Jun 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 295 14 0 29 May 2024
Solving the Tree Containment Problem Using Graph Neural Networks A. Dushatskiy Esther Julien Leen Stougie L. Iersel 236 0 0 15 Apr 2024
Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs Hugo Jaquard P. Amblard Simon Barthelmé Nicolas M Tremblay 169 1 0 28 Mar 2024
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network Tatyana Benko Martin Buck Ilya Amburg Stephen J. Young Sinan G. Aksoy 259 3 0 15 Feb 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation LearningProceedings of the VLDB Endowment (PVLDB), 2024 Miao Hu Meihao Liao Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 158 11 0 22 Jan 2024
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNsAAAI Conference on Artificial Intelligence (AAAI), 2023 Stefano Fiorini Stefano Coniglio Michele Ciavotta Enza Messina GNN 172 6 0 28 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Miao Hu Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 172 19 0 07 Dec 2023
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows Yuxiao Qu Jinmeng Rao Song Gao Qianheng Zhang Wei-Lun Chao Yu-Chuan Su Michelle Miller Alfonso Morales Patrick Huber FedML 116 6 0 20 Oct 2023
HoloNets: Spectral Convolutions do extend to Directed GraphsInternational Conference on Learning Representations (ICLR), 2023 Christian Koke Zorah Lähner 307 18 0 03 Oct 2023
ResolvNet: A Graph Convolutional Network with multi-scale Consistency Christian Koke Abhishek Saroha Yuesong Shen Marvin Eisenberger Zorah Lähner GNN 149 2 0 30 Sep 2023
Directed Scattering for Knowledge Graph-based Cellular Signaling AnalysisIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Aarthi Venkat Joyce A. Chew Ferran Cardoso Rodriguez Christopher J. Tape Michael Perlmutter Smita Krishnaswamy 116 3 0 14 Sep 2023
Structural Balance and Random Walks on Complex Networks with Complex WeightsSIAM Journal on Mathematics of Data Science (SIMODS), 2023 Yu Tian R. Lambiotte 90 17 0 04 Jul 2023
Provably Powerful Graph Neural Networks for Directed MultigraphsAAAI Conference on Artificial Intelligence (AAAI), 2023 Béni Egressy Luc von Niederhäusern Jovan Blanusa Erik Altman Roger Wattenhofer Kubilay Atasu 174 32 0 20 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 189 1 0 14 Jun 2023
Can Directed Graph Neural Networks be Adversarially Robust? Zhichao Hou Xitong Zhang Wei Wang Charu C. Aggarwal Xiaorui Liu AAML 190 1 0 03 Jun 2023
A Fractional Graph Laplacian Approach to OversmoothingNeural Information Processing Systems (NeurIPS), 2023 Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 364 49 0 22 May 2023
Edge Directionality Improves Learning on Heterophilic GraphsLOG IN (LOG IN), 2023 Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 282 102 0 17 May 2023
Zoo Guide to Network Embedding Anthony Baptista Rubén J. Sánchez-García A. Baudot Ginestra Bianconi GNN 151 10 0 05 May 2023
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick Xiyuan Wang Pan Li Muhan Zhang AI4CE 161 4 0 20 Apr 2023
Best Practices for 2-Body Pose Forecasting Muhammad Rameez Ur Rahman Luca Scofano Edoardo De Matteis Alessandro Flaborea Alessio Sampieri Fabio Galasso 148 11 0 12 Apr 2023
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk Jiafu Wu Mufeng Yao Dong Wu M. Chi Baokun Wang Ruofan Wu Xin Fu Changhua Meng Weiqiang Wang 88 4 0 06 Mar 2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential EquationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Tiexin Qin Benjamin Walker Terry Lyons Hongfei Yan Haoliang Li BDL AI4CE 199 5 0 22 Feb 2023

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MagNet: A Neural Network for Directed Graphs

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