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. 2202.12449
  4. Cited By
Directed Graph Auto-Encoders

Directed Graph Auto-Encoders

25 February 2022
Georgios Kollias
Vasileios Kalantzis
Tsuyoshi Idé
A. Lozano
Naoki Abe
    BDL
    GNN
ArXivPDFHTML

Papers citing "Directed Graph Auto-Encoders"

15 / 15 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
32
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
Enhanced Route Planning with Calibrated Uncertainty Set
Lingxuan Tang
Rui Luo
Zhixin Zhou
Nicolo Colombo
37
1
0
13 Mar 2025
Multi-Class and Multi-Task Strategies for Neural Directed Link
  Prediction
Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction
Claudio Moroni
Claudio Borile
Carolina Mattsson
Michele Starnini
Andre' Panisson
64
0
0
14 Dec 2024
Scale Invariance of Graph Neural Networks
Scale Invariance of Graph Neural Networks
Qin Jiang
Chengjia Wang
Michael Lones
Wei Pang
GNN
110
0
0
28 Nov 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection:
  Limitations and a Simple Remedy
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
Sunwoo Kim
Soo Yong Lee
Fanchen Bu
Shinhwan Kang
Kyungho Kim
Jaemin Yoo
Kijung Shin
27
1
0
27 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
38
1
0
09 Oct 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural
  Reconstruction
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan
Ruyi Ding
Jiaxing He
A. A. Ding
Yunsi Fei
Xiaolin Xu
24
0
0
04 Oct 2024
What Are Good Positional Encodings for Directed Graphs?
What Are Good Positional Encodings for Directed Graphs?
Yinan Huang
Haoyu Wang
Pan Li
27
2
0
30 Jul 2024
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
Qinghua Tao
F. Tonin
Alex Lambert
Yingyi Chen
Panagiotis Patrinos
Johan A. K. Suykens
28
1
0
13 Jun 2024
Conformal Load Prediction with Transductive Graph Autoencoders
Conformal Load Prediction with Transductive Graph Autoencoders
Rui Luo
Nicolo Colombo
21
9
0
12 Jun 2024
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
Zhaoru Ke
Hang Yu
Jianguo Li
Haipeng Zhang
23
4
0
08 Jun 2024
Breaking the Entanglement of Homophily and Heterophily in
  Semi-supervised Node Classification
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
Henan Sun
Xunkai Li
Zhengyu Wu
Daohan Su
Ronghua Li
Guoren Wang
27
12
0
07 Dec 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
15
56
0
17 May 2023
Rethinking the positive role of cluster structure in complex networks
  for link prediction tasks
Rethinking the positive role of cluster structure in complex networks for link prediction tasks
Shan-Shan Zhang
Wenjiao Zhang
Zhan Bu
16
0
0
04 Nov 2022
1