Cover Image

A Survey on Signed Graph Embedding: Methods and Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ghosh, Shrabani
Format:	Preprint
Published:	2024
Subjects:	Social and Information Networks Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Role of Community Detection Methods in Performance Variations of Graph Mining Tasks
by: Ghosh, Shrabani, et al.
Published: (2025)

Examining Different Research Communities: Authorship Network
by: Ghosh, Shrabani
Published: (2024)

Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
by: Nakis, Nikolaos, et al.
Published: (2024)

No Community Detection Method to Rule Them All!
by: Ghosh, Shrabani, et al.
Published: (2025)

Machine Learning on Dynamic Graphs: A Survey on Applications
by: Fard, Sanaz Hasanzadeh
Published: (2024)

Hub-aware Random Walk Graph Embedding Methods for Classification
by: Tomčić, Aleksandar, et al.
Published: (2022)

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2025)

Improving Signed Propagation for Graph Neural Networks in Multi-Class Environments
by: Choi, Yoonhyuk, et al.
Published: (2023)

Data-centric Graph Learning: A Survey
by: Guo, Yuxin, et al.
Published: (2023)

Encoder Embedding for General Graph and Node Classification
by: Shen, Cencheng
Published: (2024)

Self-attention Dual Embedding for Graphs with Heterophily
by: Lai, Yurui, et al.
Published: (2023)

Synergistic Graph Fusion via Encoder Embedding
by: Shen, Cencheng, et al.
Published: (2023)

Aitchison Embeddings for Learning Compositional Graph Representations
by: Nakis, Nikolaos, et al.
Published: (2026)

The Expressive Power of Graph Neural Networks: A Survey
by: Zhang, Bingxu, et al.
Published: (2023)

Temporal Link Prediction Using Graph Embedding Dynamics
by: Fard, Sanaz Hasanzadeh, et al.
Published: (2024)

Principal Graph Encoder Embedding and Principal Community Detection
by: Shen, Cencheng, et al.
Published: (2025)

The Graph-Embedded Hazard Model (GEHM): Stochastic Network Survival Dynamics on Economic Graphs
by: Vallarino, Diego
Published: (2025)

Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection
by: Shen, Cencheng, et al.
Published: (2023)

Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
by: Ghosh, Hritaban, et al.
Published: (2024)

A Survey of Graph Neural Networks for Social Recommender Systems
by: Sharma, Kartik, et al.
Published: (2022)

Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
by: Zhang, Sen, et al.
Published: (2025)

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
by: Li, Yicong, et al.
Published: (2024)

A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective
by: Zhao, Ziwen, et al.
Published: (2024)

Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
by: Shen, Cencheng, et al.
Published: (2024)

Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
by: Jiang, Mengying, et al.
Published: (2024)

Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
by: Qin, Meng, et al.
Published: (2025)

Peer Disambiguation in Self-Reported Surveys using Graph Attention Networks
by: Srivastava, Ajitesh, et al.
Published: (2025)

DyGSSM: Multi-view Dynamic Graph Embeddings with State Space Model Gradient Update
by: Pijan, Bizhan Alipour, et al.
Published: (2025)

Whole-Graph Representation Learning For the Classification of Signed Networks
by: Cecillon, Noé, et al.
Published: (2024)

Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings
by: Liu, David, et al.
Published: (2024)

Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions
by: Pangtey, Lata, et al.
Published: (2025)

Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application
by: Garcia, Cristiano M., et al.
Published: (2024)

Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
by: Chung, Hsing-Huan, et al.
Published: (2025)

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
by: Wu, Man, et al.
Published: (2024)

Harnessing Rich Multi-Modal Data for Spatial-Temporal Homophily-Embedded Graph Learning Across Domains and Localities
by: Kurihana, Takuya, et al.
Published: (2025)

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation
by: Salha-Galvan, Guillaume
Published: (2022)

A Survey of Data-Efficient Graph Learning
by: Ju, Wei, et al.
Published: (2024)

Graph Foundation Models: A Comprehensive Survey
by: Wang, Zehong, et al.
Published: (2025)

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation
by: Liu, Yuting, et al.
Published: (2024)

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
by: Luan, Sitao, et al.
Published: (2024)