SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning
Fuente:
arXiv
Saved in:
| Main Authors: | Sajadinia, Hamed, Aghdaei, Ali, Feng, Zhuo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HyperEF 2.0: Spectral Hypergraph Coarsening via Krylov Subspace Expansion and Resistance-based Local Clustering
by: Sajadinia, Hamed, et al.
Published: (2025)
by: Sajadinia, Hamed, et al.
Published: (2025)
inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition
by: Aghdaei, Ali, et al.
Published: (2024)
by: Aghdaei, Ali, et al.
Published: (2024)
A Spectral Framework for Evaluating Geodesic Distances Between Graphs
by: Shuvo, Soumen Sikder, et al.
Published: (2024)
by: Shuvo, Soumen Sikder, et al.
Published: (2024)
dyGRASS: Dynamic Spectral Graph Sparsification via Localized Random Walks on GPUs
by: Yuan, Yihang, et al.
Published: (2025)
by: Yuan, Yihang, et al.
Published: (2025)
Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
by: Guan, Renchu, et al.
Published: (2025)
by: Guan, Renchu, et al.
Published: (2025)
An Efficient Loop and Clique Coarsening Algorithm for Graph Classification
by: Qi, Xiaorui, et al.
Published: (2024)
by: Qi, Xiaorui, et al.
Published: (2024)
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening
by: Kataria, Mohit, et al.
Published: (2025)
by: Kataria, Mohit, et al.
Published: (2025)
From Graphs to Hypergraphs: Hypergraph Projection and its Remediation
by: Wang, Yanbang, et al.
Published: (2024)
by: Wang, Yanbang, et al.
Published: (2024)
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
by: Zhang, Hongyu, et al.
Published: (2024)
by: Zhang, Hongyu, et al.
Published: (2024)
InfraredGP: Efficient Graph Partitioning via Spectral Graph Neural Networks with Negative Corrections
by: Qin, Meng, et al.
Published: (2025)
by: Qin, Meng, et al.
Published: (2025)
DPHGNN: A Dual Perspective Hypergraph Neural Networks
by: Saxena, Siddhant, et al.
Published: (2024)
by: Saxena, Siddhant, et al.
Published: (2024)
Hyperedge Interaction-aware Hypergraph Neural Network
by: Ye, Rongping, et al.
Published: (2024)
by: Ye, Rongping, et al.
Published: (2024)
Partitioning Message Passing for Graph Fraud Detection
by: Zhuo, Wei, et al.
Published: (2024)
by: Zhuo, Wei, et al.
Published: (2024)
Neural Acceleration for Graph Partitioning
by: Booth, Joshua Dennis, et al.
Published: (2026)
by: Booth, Joshua Dennis, et al.
Published: (2026)
Hypergraph clustering using Ricci curvature: an edge transport perspective
by: Hacquard, Olympio
Published: (2024)
by: Hacquard, Olympio
Published: (2024)
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
by: Ezoe, Haruka, et al.
Published: (2025)
by: Ezoe, Haruka, et al.
Published: (2025)
Quantum Hypergraph Partitioning
by: Li, Yiran, et al.
Published: (2026)
by: Li, Yiran, et al.
Published: (2026)
Heterogeneous Hypergraph Embedding for Recommendation Systems
by: Sakong, Darnbi, et al.
Published: (2024)
by: Sakong, Darnbi, et al.
Published: (2024)
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
by: Nakajima, Kazuki, et al.
Published: (2024)
by: Nakajima, Kazuki, et al.
Published: (2024)
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
by: Hashemi, Mohammad, et al.
Published: (2024)
by: Hashemi, Mohammad, et al.
Published: (2024)
Towards Faster Graph Partitioning via Pre-training and Inductive Inference
by: Qin, Meng, et al.
Published: (2024)
by: Qin, Meng, et al.
Published: (2024)
Heterogeneous Temporal Hypergraph Neural Network
by: Liu, Huan, et al.
Published: (2025)
by: Liu, Huan, et al.
Published: (2025)
Recent Advances in Hypergraph Neural Networks
by: Yang, Murong, et al.
Published: (2025)
by: Yang, Murong, et al.
Published: (2025)
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure
by: Yu, Xincan, et al.
Published: (2024)
by: Yu, Xincan, et al.
Published: (2024)
Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation
by: Yang, Murong, et al.
Published: (2025)
by: Yang, Murong, et al.
Published: (2025)
Recovering Fairness Directly from Modularity: a New Way for Fair Community Partitioning
by: Wang, Yufeng, et al.
Published: (2025)
by: Wang, Yufeng, et al.
Published: (2025)
Hyperedge Anomaly Detection with Hypergraph Neural Network
by: Alam, Md. Tanvir, et al.
Published: (2024)
by: Alam, Md. Tanvir, et al.
Published: (2024)
Hypergraph-enhanced Dual Semi-supervised Graph Classification
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
A Spectral Framework for Tracking Communities in Evolving Networks
by: Hume, Jacob, et al.
Published: (2024)
by: Hume, Jacob, et al.
Published: (2024)
Learning Hypergraphs From Signals With Dual Smoothness Prior
by: Tang, Bohan, et al.
Published: (2022)
by: Tang, Bohan, et al.
Published: (2022)
CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling
by: Xu, Zhuo, et al.
Published: (2024)
by: Xu, Zhuo, et al.
Published: (2024)
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Spectral Subspace Clustering for Attributed Graphs
by: Lin, Xiaoyang, et al.
Published: (2024)
by: Lin, Xiaoyang, et al.
Published: (2024)
An Improved and Generalised Analysis for Spectral Clustering
by: Tyler, George, et al.
Published: (2025)
by: Tyler, George, et al.
Published: (2025)
Frustrated Random Walks: A Fast Method to Compute Node Distances on Hypergraphs
by: Li, Enzhi, et al.
Published: (2024)
by: Li, Enzhi, et al.
Published: (2024)
Hypergraph Diffusion for High-Order Recommender Systems
by: Sakong, Darnbi, et al.
Published: (2025)
by: Sakong, Darnbi, et al.
Published: (2025)
Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph $\boldsymbolβ$-Model
by: Nandy, Sagnik, et al.
Published: (2023)
by: Nandy, Sagnik, et al.
Published: (2023)
Graph Neural Networks with Diverse Spectral Filtering
by: Guo, Jingwei, et al.
Published: (2023)
by: Guo, Jingwei, et al.
Published: (2023)
Spectral-Aware Augmentation for Enhanced Graph Representation Learning
by: Yang, Kaiqi, et al.
Published: (2023)
by: Yang, Kaiqi, et al.
Published: (2023)
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs
by: Soltani, Mehrad, et al.
Published: (2024)
by: Soltani, Mehrad, et al.
Published: (2024)
Similar Items
-
HyperEF 2.0: Spectral Hypergraph Coarsening via Krylov Subspace Expansion and Resistance-based Local Clustering
by: Sajadinia, Hamed, et al.
Published: (2025) -
inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition
by: Aghdaei, Ali, et al.
Published: (2024) -
A Spectral Framework for Evaluating Geodesic Distances Between Graphs
by: Shuvo, Soumen Sikder, et al.
Published: (2024) -
dyGRASS: Dynamic Spectral Graph Sparsification via Localized Random Walks on GPUs
by: Yuan, Yihang, et al.
Published: (2025) -
Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
by: Guan, Renchu, et al.
Published: (2025)