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SDGNN: Learning Node Representation for Signed Directed Networks

SDGNN: Learning Node Representation for Signed Directed Networks

7 January 2021
Junjie Huang
Huawei Shen
Liang Hou
Xueqi Cheng
ArXivPDFHTML

Papers citing "SDGNN: Learning Node Representation for Signed Directed Networks"

12 / 12 papers shown
Title
Large Language Models can Achieve Social Balance
Large Language Models can Achieve Social Balance
Pedro Cisneros-Velarde
47
1
0
05 Oct 2024
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
Nikolaos Nakis
Chrysoula Kosma
Giannis Nikolentzos
Michalis Chatzianastasis
Iakovos Evdaimon
Michalis Vazirgiannis
46
1
0
16 Sep 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
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
Zeyu Zhang
Shuyan Wan
Sijie Wang
Xianda Zheng
Xinrui Zhang
Kaiqi Zhao
Jiamou Liu
Dong Hao
16
1
0
15 Oct 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed
  Integer Weighted Networks
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
Nikolaos Nakis
Abdulkadir Çelikkanat
Morten Mørup
33
0
0
29 Aug 2023
Characterizing Polarization in Social Networks using the Signed
  Relational Latent Distance Model
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
Nikolaos Nakis
Abdulkadir Çelikkanat
Louis Boucherie
Christian Djurhuus
Felix Burmester
Daniel Mathias Holmelund
Monika Frolcová
Morten Mørup
26
6
0
23 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Taewook Ko
Yoonhyuk Choi
Chong-Kwon Kim
28
3
0
12 Jan 2023
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
38
27
0
01 Sep 2022
Signed Graph Neural Networks: A Frequency Perspective
Signed Graph Neural Networks: A Frequency Perspective
Rahul Singh
Yongxin Chen
11
11
0
15 Aug 2022
Representation Learning in Continuous-Time Dynamic Signed Networks
Representation Learning in Continuous-Time Dynamic Signed Networks
Kartik Sharma
Mohit Raghavendra
Y. Lee
M. Anandkumar
Srijan Kumar
34
8
0
07 Jul 2022
SSSNET: Semi-Supervised Signed Network Clustering
SSSNET: Semi-Supervised Signed Network Clustering
Yixuan He
Gesine Reinert
Songchao Wang
Mihai Cucuringu
26
28
0
13 Oct 2021
MUSE: Multi-faceted Attention for Signed Network Embedding
MUSE: Multi-faceted Attention for Signed Network Embedding
Dengcheng Yan
Youwen Zhang
Wei Li
Yiwen Zhang
16
14
0
29 Apr 2021
1