Imagen de Portada

Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Yiran, Guo, Gongyao, Feng, Chen, Shi, Jieming
Formato:	Preprint
Publicado:	2025
Materias:	Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding
por: Li, Yiran, et al.
Publicado: (2025)

A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation
por: Li, Yiran, et al.
Publicado: (2024)

Hyperedge Interaction-aware Hypergraph Neural Network
por: Ye, Rongping, et al.
Publicado: (2024)

Hyperedge Anomaly Detection with Hypergraph Neural Network
por: Alam, Md. Tanvir, et al.
Publicado: (2024)

Effective Clustering on Large Attributed Bipartite Graphs
por: Yang, Renchi, et al.
Publicado: (2024)

Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs
por: Soltani, Mehrad, et al.
Publicado: (2024)

HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction
por: Yu, Song Kyung, et al.
Publicado: (2025)

Quantum Hypergraph Partitioning
por: Li, Yiran, et al.
Publicado: (2026)

Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes
por: Chun, Jaewan, et al.
Publicado: (2025)

Hypergraph-Based Dynamic Graph Node Classification
por: Ma, Xiaoxu, et al.
Publicado: (2024)

HyperSearch: Prediction of New Hyperedges through Unconstrained yet Efficient Search
por: Choo, Hyunjin, et al.
Publicado: (2025)

Structural-Aware Key Node Identification in Hypergraphs via Representation Learning and Fine-Tuning
por: Ni, Xiaonan, et al.
Publicado: (2025)

Clustering Coefficient Reflecting Pairwise Relationships within Hyperedges
por: Miyashita, Rikuya, et al.
Publicado: (2024)

Active Sampling for Node Attribute Completion on Graphs
por: Liu, Benyuan, et al.
Publicado: (2025)

Exploring the Non-uniqueness of Node Co-occurrence Matrices of Hypergraphs
por: LaRock, Timothy, et al.
Publicado: (2025)

Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
por: Ko, Yunyong, et al.
Publicado: (2023)

UniqueRank: Identifying Important and Difficult-to-Replace Nodes in Attributed Graphs
por: Cai, Erica, et al.
Publicado: (2025)

Heterogeneous Hypergraph Embedding for Recommendation Systems
por: Sakong, Darnbi, et al.
Publicado: (2024)

Understanding High-Order Network Structure using Permissible Walks on Attributed Hypergraphs
por: Battistella, Enzo, et al.
Publicado: (2024)

Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
por: Guan, Renchu, et al.
Publicado: (2025)

Frustrated Random Walks: A Fast Method to Compute Node Distances on Hypergraphs
por: Li, Enzhi, et al.
Publicado: (2024)

The Effects of Randomness on the Stability of Node Embeddings
por: Schumacher, Tobias, et al.
Publicado: (2020)

Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery
por: Yang, Joonhyuk, et al.
Publicado: (2025)

NCSAC: Effective Neural Community Search via Attribute-augmented Conductance
por: Lin, Longlong, et al.
Publicado: (2025)

Generating Human Understandable Explanations for Node Embeddings
por: Shafi, Zohair, et al.
Publicado: (2024)

Encoder Embedding for General Graph and Node Classification
por: Shen, Cencheng
Publicado: (2024)

Attacks on Node Attributes in Graph Neural Networks
por: Xu, Ying, et al.
Publicado: (2024)

SVD Incidence Centrality: A Unified Spectral Framework for Node and Edge Analysis in Directed Networks and Hypergraphs
por: Franco, Jorge Luiz, et al.
Publicado: (2026)

Fairness Through Controlled (Un)Awareness in Node Embeddings
por: Vetter, Dennis, et al.
Publicado: (2024)

Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
por: Nakajima, Kazuki, et al.
Publicado: (2024)

HIP: Model-Agnostic Hypergraph Influence Prediction via Distance-Centrality Fusion and Neural ODEs
por: Zhang, Su-Su, et al.
Publicado: (2025)

From Graphs to Hypergraphs: Hypergraph Projection and its Remediation
por: Wang, Yanbang, et al.
Publicado: (2024)

Adaptive Expansion for Hypergraph Learning
por: Ma, Tianyi, et al.
Publicado: (2025)

Accurate Trust Evaluation for Effective Operation of Social IoT Systems via Hypergraph-Enabled Self-Supervised Contrastive Learning
por: Zhu, Botao, et al.
Publicado: (2025)

TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
por: Zhou, Ziang, et al.
Publicado: (2024)

Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph
por: Xu, Zequan, et al.
Publicado: (2023)

Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling
por: Liu, Songyuan, et al.
Publicado: (2025)

FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
por: Zhang, Hongyu, et al.
Publicado: (2024)

HyperEF 2.0: Spectral Hypergraph Coarsening via Krylov Subspace Expansion and Resistance-based Local Clustering
por: Sajadinia, Hamed, et al.
Publicado: (2025)

Mixture of Experts for Node Classification
por: Shi, Yu, et al.
Publicado: (2024)