Learning Network Representations with Disentangled Graph Auto-Encoder
Fuente:
arXiv
Guardado en:
| Autores principales: | Fan, Di, Gao, Chuanhou |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Causal Flow-based Variational Auto-Encoder for Disentangled Causal Representation Learning
por: Fan, Di, et al.
Publicado: (2023)
por: Fan, Di, et al.
Publicado: (2023)
Disentangled Graph Autoencoder for Treatment Effect Estimation
por: Fan, Di, et al.
Publicado: (2024)
por: Fan, Di, et al.
Publicado: (2024)
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
por: Xu, Zhuo, et al.
Publicado: (2024)
por: Xu, Zhuo, et al.
Publicado: (2024)
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
por: Jung, Hee-Jun, et al.
Publicado: (2024)
por: Jung, Hee-Jun, et al.
Publicado: (2024)
Representation Learning of Lab Values via Masked AutoEncoders
por: Restrepo, David, et al.
Publicado: (2025)
por: Restrepo, David, et al.
Publicado: (2025)
Discrepancy-Aware Graph Mask Auto-Encoder
por: Zheng, Ziyu, et al.
Publicado: (2025)
por: Zheng, Ziyu, et al.
Publicado: (2025)
Disentangled Generative Graph Representation Learning
por: Hu, Xinyue, et al.
Publicado: (2024)
por: Hu, Xinyue, et al.
Publicado: (2024)
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
por: Singh, Moirangthem Tiken, et al.
Publicado: (2024)
por: Singh, Moirangthem Tiken, et al.
Publicado: (2024)
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
por: Dinh, Phai Vu, et al.
Publicado: (2024)
por: Dinh, Phai Vu, et al.
Publicado: (2024)
Disentangled Representation Learning
por: Wang, Xin, et al.
Publicado: (2022)
por: Wang, Xin, et al.
Publicado: (2022)
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
por: Gao, Weibo, et al.
Publicado: (2024)
por: Gao, Weibo, et al.
Publicado: (2024)
Diagnosis of Fuel Cell Health Status with Deep Sparse Auto-Encoder Neural Network
por: Fei, Chenyan, et al.
Publicado: (2025)
por: Fei, Chenyan, et al.
Publicado: (2025)
AEMLO: AutoEncoder-Guided Multi-Label Oversampling
por: Zhou, Ao, et al.
Publicado: (2024)
por: Zhou, Ao, et al.
Publicado: (2024)
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation
por: Chen, Jielin, et al.
Publicado: (2024)
por: Chen, Jielin, et al.
Publicado: (2024)
Deep Disentangled Representation Network for Treatment Effect Estimation
por: Meng, Hui, et al.
Publicado: (2025)
por: Meng, Hui, et al.
Publicado: (2025)
Disentangling Multiplex Spatial-Temporal Transition Graph Representation Learning for Socially Enhanced POI Recommendation
por: Li, Jie, et al.
Publicado: (2025)
por: Li, Jie, et al.
Publicado: (2025)
Disentangled and Self-Explainable Node Representation Learning
por: Piaggesi, Simone, et al.
Publicado: (2024)
por: Piaggesi, Simone, et al.
Publicado: (2024)
Disentangled Representation Learning for Causal Inference with Instruments
por: Cheng, Debo, et al.
Publicado: (2024)
por: Cheng, Debo, et al.
Publicado: (2024)
Towards Foundation Auto-Encoders for Time-Series Anomaly Detection
por: González, Gastón García, et al.
Publicado: (2025)
por: González, Gastón García, et al.
Publicado: (2025)
Disentanglement in Difference: Directly Learning Semantically Disentangled Representations by Maximizing Inter-Factor Differences
por: Zhang, Xingshen, et al.
Publicado: (2025)
por: Zhang, Xingshen, et al.
Publicado: (2025)
Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision
por: Cui, Jiali, et al.
Publicado: (2026)
por: Cui, Jiali, et al.
Publicado: (2026)
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
por: Wang, Ling, et al.
Publicado: (2024)
por: Wang, Ling, et al.
Publicado: (2024)
mDAE : modified Denoising AutoEncoder for missing data imputation
por: Dupuy, Mariette, et al.
Publicado: (2024)
por: Dupuy, Mariette, et al.
Publicado: (2024)
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
por: Guerrero-López, Alejandro, et al.
Publicado: (2022)
por: Guerrero-López, Alejandro, et al.
Publicado: (2022)
Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data
por: Dinh, Phai Vu, et al.
Publicado: (2025)
por: Dinh, Phai Vu, et al.
Publicado: (2025)
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
por: Kofinas, Miltiadis, et al.
Publicado: (2024)
por: Kofinas, Miltiadis, et al.
Publicado: (2024)
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
por: Wu, Xingjian, et al.
Publicado: (2025)
por: Wu, Xingjian, et al.
Publicado: (2025)
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
por: Jia, Chengxing, et al.
Publicado: (2024)
por: Jia, Chengxing, et al.
Publicado: (2024)
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
por: Chang, Ching, et al.
Publicado: (2024)
por: Chang, Ching, et al.
Publicado: (2024)
Independence Constrained Disentangled Representation Learning from Epistemological Perspective
por: Wang, Ruoyu, et al.
Publicado: (2024)
por: Wang, Ruoyu, et al.
Publicado: (2024)
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
por: Chang, Ching, et al.
Publicado: (2023)
por: Chang, Ching, et al.
Publicado: (2023)
Adversarial Graph Disentanglement
por: Zheng, Shuai, et al.
Publicado: (2021)
por: Zheng, Shuai, et al.
Publicado: (2021)
Learning Divergence Fields for Shift-Robust Graph Representations
por: Wu, Qitian, et al.
Publicado: (2024)
por: Wu, Qitian, et al.
Publicado: (2024)
GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
por: Cui, Canyixing, et al.
Publicado: (2026)
por: Cui, Canyixing, et al.
Publicado: (2026)
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
por: Fan, Xudong, et al.
Publicado: (2025)
por: Fan, Xudong, et al.
Publicado: (2025)
Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
por: Zhai, Zian, et al.
Publicado: (2025)
por: Zhai, Zian, et al.
Publicado: (2025)
AutoGL: A Library for Automated Graph Learning
por: Zhang, Ziwei, et al.
Publicado: (2021)
por: Zhang, Ziwei, et al.
Publicado: (2021)
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
por: Errica, Federico, et al.
Publicado: (2023)
por: Errica, Federico, et al.
Publicado: (2023)
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
por: Guo, Zihao, et al.
Publicado: (2025)
por: Guo, Zihao, et al.
Publicado: (2025)
CoLiDR: Concept Learning using Aggregated Disentangled Representations
por: Sinha, Sanchit, et al.
Publicado: (2024)
por: Sinha, Sanchit, et al.
Publicado: (2024)
Ejemplares similares
-
Causal Flow-based Variational Auto-Encoder for Disentangled Causal Representation Learning
por: Fan, Di, et al.
Publicado: (2023) -
Disentangled Graph Autoencoder for Treatment Effect Estimation
por: Fan, Di, et al.
Publicado: (2024) -
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
por: Xu, Zhuo, et al.
Publicado: (2024) -
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
por: Jung, Hee-Jun, et al.
Publicado: (2024) -
Representation Learning of Lab Values via Masked AutoEncoders
por: Restrepo, David, et al.
Publicado: (2025)