Image de couverture de livre

Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Soltani, Mehrad, Rueda, Luis
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Social and Information Networks
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Hyperedge Anomaly Detection with Hypergraph Neural Network
par: Alam, Md. Tanvir, et autres
Publié: (2024)

Hyperedge Interaction-aware Hypergraph Neural Network
par: Ye, Rongping, et autres
Publié: (2024)

Heterogeneous Temporal Hypergraph Neural Network
par: Liu, Huan, et autres
Publié: (2025)

Hypergraph Neural Networks Reveal Spatial Domains from Single-cell Transcriptomics Data
par: Soltani, Mehrad, et autres
Publié: (2024)

Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
par: Kim, Dongkwan, et autres
Publié: (2022)

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
par: Gracious, Tony, et autres
Publié: (2023)

Generalizing Weisfeiler-Lehman Kernels to Subgraphs
par: Kim, Dongkwan, et autres
Publié: (2024)

Subgraph Pooling: Tackling Negative Transfer on Graphs
par: Wang, Zehong, et autres
Publié: (2024)

HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction
par: Yu, Song Kyung, et autres
Publié: (2025)

Heterogeneous Hypergraph Embedding for Recommendation Systems
par: Sakong, Darnbi, et autres
Publié: (2024)

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
par: Zhou, Zhanke, et autres
Publié: (2024)

A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling
par: Hsu, Hung-Chun, et autres
Publié: (2023)

Hypergraph-enhanced Dual Semi-supervised Graph Classification
par: Ju, Wei, et autres
Publié: (2024)

HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
par: Cai, Xinjun, et autres
Publié: (2021)

Hypergraph Diffusion for High-Order Recommender Systems
par: Sakong, Darnbi, et autres
Publié: (2025)

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
par: Guidotti, Sabrina, et autres
Publié: (2024)

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
par: Zhu, Yinlin, et autres
Publié: (2024)

Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion
par: Sakong, Darnbi, et autres
Publié: (2025)

Strong Transitivity Relations and Graph Neural Networks
par: Mohamadi, Yassin, et autres
Publié: (2024)

Demystifying Higher-Order Graph Neural Networks
par: Besta, Maciej, et autres
Publié: (2024)

On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks
par: Guettala, Walid, et autres
Publié: (2024)

INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
par: Tiukhova, Elena, et autres
Publié: (2023)

Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering
par: Peng, Boci, et autres
Publié: (2024)

LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
par: Liu, Ping, et autres
Publié: (2024)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
par: Xie, Beini, et autres
Publié: (2024)

BeMap: Balanced Message Passing for Fair Graph Neural Network
par: Lin, Xiao, et autres
Publié: (2023)

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
par: Liu, Yanbei, et autres
Publié: (2025)

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
par: Li, Zihao, et autres
Publié: (2024)

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
par: Li, Cheng-Te, et autres
Publié: (2024)

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
par: Li, Xiping, et autres
Publié: (2025)

LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting
par: Luo, Qinyao, et autres
Publié: (2024)

FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
par: Liu, Jiaxin, et autres
Publié: (2025)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
par: Ju, Wei, et autres
Publié: (2024)

Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
par: Khanna, Samarth, et autres
Publié: (2024)

Representation Learning on Large Non-Bipartite Transaction Networks using GraphSAGE
par: Tare, Mihir, et autres
Publié: (2025)

A Markov Random Field model for Hypergraph-based Machine Learning
par: Tang, Bohan, et autres
Publié: (2023)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
par: Ju, Wei, et autres
Publié: (2024)

Explainable Identification of Hate Speech towards Islam using Graph Neural Networks
par: Wasi, Azmine Toushik
Publié: (2023)

Large Language Models for Social Networks: Applications, Challenges, and Solutions
par: Zeng, Jingying, et autres
Publié: (2024)

Graph Network Modeling Techniques for Visualizing Human Mobility Patterns
par: Mitra, Sinjini, et autres
Publié: (2025)