Copertina

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kim, Sunwoo, Kang, Shinhwan, Bu, Fanchen, Lee, Soo Yong, Yoo, Jaemin, Shin, Kijung
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

'Hello, World!': Making GNNs Talk with LLMs
di: Kim, Sunwoo, et al.
Pubblicazione: (2025)

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

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

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

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

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

A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
di: Kim, Sunwoo, et al.
Pubblicazione: (2024)

Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
di: Bu, Fanchen, et al.
Pubblicazione: (2024)

RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
di: Choi, Dongwon, et al.
Pubblicazione: (2025)

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

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

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

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

BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
di: Ko, Jihoon, et al.
Pubblicazione: (2022)

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

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

MARIOH: Multiplicity-Aware Hypergraph Reconstruction
di: Lee, Kyuhan, et al.
Pubblicazione: (2025)

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
di: Kim, Sunwoo, et al.
Pubblicazione: (2025)

FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
di: Hwang, Dongyeong, et al.
Pubblicazione: (2024)

Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
di: Liang, Langzhang, et al.
Pubblicazione: (2025)

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

Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
di: Bae, Chaewoon, et al.
Pubblicazione: (2025)

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
di: Liang, Langzhang, et al.
Pubblicazione: (2024)

Self-Tuning Self-Supervised Image Anomaly Detection
di: Yoo, Jaemin, et al.
Pubblicazione: (2023)

View Space: Learning Representation across Arbitrary Graphs
di: Lee, Dooho, et al.
Pubblicazione: (2025)

A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
di: Kim, Kyungho, et al.
Pubblicazione: (2025)

End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
di: Deforce, Boje, et al.
Pubblicazione: (2024)

Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
di: Yoon, Kijung
Pubblicazione: (2025)

Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
di: Kim, Jisoo, et al.
Pubblicazione: (2025)

(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
di: Lee, Seungjoo, et al.
Pubblicazione: (2024)

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

Self-Guided Robust Graph Structure Refinement
di: In, Yeonjun, et al.
Pubblicazione: (2024)

From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
di: Shin, Jeeho, et al.
Pubblicazione: (2025)

ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM Agents
di: Kim, Kyungho, et al.
Pubblicazione: (2026)

Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning
di: Hwang, Ung, et al.
Pubblicazione: (2024)

Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
di: Lee, Sunwoo
Pubblicazione: (2025)

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

Learning Representation for Multitask learning through Self Supervised Auxiliary learning
di: Shin, Seokwon, et al.
Pubblicazione: (2024)