Imagen de Portada

HyperSearch: Prediction of New Hyperedges through Unconstrained yet Efficient Search

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Choo, Hyunjin, Bu, Fanchen, Hwang, Hyunjin, Yoon, Young-Gyu, Shin, Kijung
Formato:	Preprint
Publicado:	2025
Materias:	Social and Information Networks Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity
por: Bu, Fanchen, et al.
Publicado: (2025)

DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
por: Lee, Junghun, et al.
Publicado: (2025)

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
por: Lee, Soo Yong, et al.
Publicado: (2024)

Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
por: Kim, Sunwoo, et al.
Publicado: (2024)

On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
por: Jo, Hyeonsoo, et al.
Publicado: (2025)

Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
por: Kim, Sunwoo, et al.
Publicado: (2025)

Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
por: Lee, Dongjin, et al.
Publicado: (2023)

Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation
por: Kim, Sunwoo, et al.
Publicado: (2026)

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

SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
por: Lee, Jongha, et al.
Publicado: (2024)

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

PyTorch-based Geometric Learning with Non-CUDA Processing Units: Experiences from Intel Gaudi-v2 HPUs
por: Bu, Fanchen, et al.
Publicado: (2025)

A Survey on Hypergraph Mining: Patterns, Tools, and Generators
por: Lee, Geon, et al.
Publicado: (2024)

On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and Analysis
por: Bu, Fanchen, et al.
Publicado: (2025)

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

A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights
por: Chun, Jaewan, et al.
Publicado: (2025)

HyperQuery: Beyond Binary Link Prediction
por: Maleki, Sepideh, et al.
Publicado: (2025)

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

An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks
por: Aronsson, Linus, et al.
Publicado: (2025)

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

TiGer: Self-Supervised Purification for Time-evolving Graphs
por: Jo, Hyeonsoo, et al.
Publicado: (2025)

Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms
por: Bu, Fanchen, et al.
Publicado: (2024)

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media
por: Tzoumanekas, Georgios, et al.
Publicado: (2024)

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry
por: Seo, Wonduk, et al.
Publicado: (2025)

NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
por: Wang, Qiyi, et al.
Publicado: (2025)

Geodesic Semantic Search: Cartographic Navigation of Citation Graphs with Learned Local Riemannian Maps
por: Yee, Brandon, et al.
Publicado: (2026)

How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
por: Nakis, Nikolaos, et al.
Publicado: (2025)

HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
por: Mao, Xuqi, et al.
Publicado: (2025)

Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges
por: Li, Yiran, et al.
Publicado: (2025)

Evading Community Detection via Counterfactual Neighborhood Search
por: Bernini, Andrea, et al.
Publicado: (2023)

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
por: Pisacane, Alexei, et al.
Publicado: (2024)

Privacy-Preserving Multimodal News Recommendation through Federated Learning
por: Khalaj, Mehdi, et al.
Publicado: (2025)

Efficient and Scalable Graph Generation through Iterative Local Expansion
por: Bergmeister, Andreas, et al.
Publicado: (2023)

Efficient and Privacy-Preserved Link Prediction via Condensed Graphs
por: Long, Yunbo, et al.
Publicado: (2025)

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

Beyond Leakage and Complexity: Towards Realistic and Efficient Information Cascade Prediction
por: Peng, Jie, et al.
Publicado: (2025)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
por: Xie, Beini, et al.
Publicado: (2024)

Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
por: Kim, Sunwoo, et al.
Publicado: (2025)

Understanding the Embedding Models on Hyper-relational Knowledge Graph
por: Wang, Yubo, et al.
Publicado: (2025)

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
por: Li, Xunkai, et al.
Publicado: (2024)