ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.11391
  4. Cited By
MagNet: A Neural Network for Directed Graphs

MagNet: A Neural Network for Directed Graphs

22 February 2021
Xitong Zhang
Yixuan He
Nathan Brugnone
Michael Perlmutter
M. Hirn
ArXivPDFHTML

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

28 / 28 papers shown
Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
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
35
0
0
02 May 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Thomas Dagès
Simon Weber
Y. Lin
Ronen Talmon
Daniel Cremers
M. Lindenbaum
A. Bruckstein
Ron Kimmel
37
0
0
23 Mar 2025
Understanding the Design Principles of Link Prediction in Directed Settings
Understanding the Design Principles of Link Prediction in Directed Settings
Jun Zhai
Muberra Ozmen
Thomas Markovich
AI4CE
38
0
0
24 Feb 2025
Higher-Order Topological Directionality and Directed Simplicial Neural Networks
Higher-Order Topological Directionality and Directed Simplicial Neural Networks
M. Lecha
Andrea Cavallo
Francesca Dominici
Elvin Isufi
Claudio Battiloro
AI4CE
151
2
0
17 Jan 2025
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Dominik Fuchsgruber
Tim Poštuvan
Stephan Günnemann
Simon Geisler
42
2
0
22 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware
  Designs
A Benchmark on Directed Graph Representation Learning in Hardware Designs
Haoyu Wang
Yinan Huang
Nan Wu
Pan Li
OOD
45
1
0
09 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the
  Computational Graph
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
Andreas Roth
Franka Bause
Nils M. Kriege
Thomas Liebig
35
3
0
17 Sep 2024
Commute Graph Neural Networks
Commute Graph Neural Networks
Wei Zhuo
Han Yu
Guang Tan
Xiaoxiao Li
GNN
95
1
0
30 Jun 2024
Solving the Tree Containment Problem Using Graph Neural Networks
Solving the Tree Containment Problem Using Graph Neural Networks
A. Dushatskiy
Esther Julien
Leen Stougie
L. Iersel
42
0
0
15 Apr 2024
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network
Tatyana Benko
Martin Buck
Ilya Amburg
Stephen J. Young
Sinan G. Aksoy
32
3
0
15 Feb 2024
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral
  GCNs
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs
Stefano Fiorini
Stefano Coniglio
Michele Ciavotta
Enza Messina
GNN
29
5
0
28 Dec 2023
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural
  Network in Analyzing Geospatial Resilience of Multicommodity Food Flows
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
28
2
0
20 Oct 2023
Structural Balance and Random Walks on Complex Networks with Complex
  Weights
Structural Balance and Random Walks on Complex Networks with Complex Weights
Yu Tian
R. Lambiotte
16
10
0
04 Jul 2023
A Fractional Graph Laplacian Approach to Oversmoothing
A Fractional Graph Laplacian Approach to Oversmoothing
Sohir Maskey
Raffaele Paolino
Aras Bacho
Gitta Kutyniok
27
29
0
22 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs
Edge Directionality Improves Learning on Heterophilic Graphs
Emanuele Rossi
Bertrand Charpentier
Francesco Di Giovanni
Fabrizio Frasca
Stephan Günnemann
Michael M. Bronstein
22
56
0
17 May 2023
Best Practices for 2-Body Pose Forecasting
Best Practices for 2-Body Pose Forecasting
Muhammad Rameez Ur Rahman
Luca Scofano
Edoardo De Matteis
Alessandro Flaborea
Alessio Sampieri
Fabio Galasso
26
9
0
12 Apr 2023
DEDGAT: Dual Embedding of Directed Graph Attention Networks for
  Detecting Financial Risk
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
16
3
0
06 Mar 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
35
25
0
11 Feb 2023
Transformers Meet Directed Graphs
Transformers Meet Directed Graphs
Simon Geisler
Yujia Li
D. Mankowitz
A. Cemgil
Stephan Günnemann
Cosmin Paduraru
27
35
0
31 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Taewook Ko
Y. Choi
Chong-Kwon Kim
26
3
0
12 Jan 2023
Dirac signal processing of higher-order topological signals
Dirac signal processing of higher-order topological signals
Lucille Calmon
Michael T. Schaub
G. Bianconi
19
27
0
12 Jan 2023
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
C. Cui
Yumo Yao
Chunyun Zhang
Hebo Ma
Yuling Ma
Z. Ren
Chen Zhang
James Ko
AI4Ed
31
26
0
23 Nov 2022
Recommending Related Products Using Graph Neural Networks in Directed
  Graphs
Recommending Related Products Using Graph Neural Networks in Directed Graphs
Srinivas Virinchi
Anoop Saladi
Abhirup Mondal
27
7
0
18 Nov 2022
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed
  Laplacian
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian
Yixuan He
Michael Perlmutter
Gesine Reinert
Mihai Cucuringu
35
27
0
01 Sep 2022
Geometric Scattering on Measure Spaces
Geometric Scattering on Measure Spaces
Joyce A. Chew
M. Hirn
Smita Krishnaswamy
Deanna Needell
Michael Perlmutter
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
GNN
36
16
0
17 Aug 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
26
29
0
06 Apr 2022
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
837
0
28 Sep 2019
1