Imagen de Portada

Influence Maximization via Graph Neural Bandits

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Feng, Yuting, Tan, Vincent Y. F., Cautis, Bogdan
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Information Retrieval Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Heterogeneous Influence Maximization in User Recommendation
por: Hou, Hongru, et al.
Publicado: (2025)

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
por: Zhao, Chu, et al.
Publicado: (2024)

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
por: Li, Xiping, et al.
Publicado: (2025)

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
por: Li, Cheng-Te, et al.
Publicado: (2024)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
por: Ju, Wei, et al.
Publicado: (2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
por: Ju, Wei, et al.
Publicado: (2024)

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
por: Guidotti, Sabrina, et al.
Publicado: (2024)

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
por: Wang, Yifan, et al.
Publicado: (2024)

Hypergraph-enhanced Dual Semi-supervised Graph Classification
por: Ju, Wei, et al.
Publicado: (2024)

Cluster-guided Contrastive Class-imbalanced Graph Classification
por: Ju, Wei, et al.
Publicado: (2024)

Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering
por: Jung, Hoin, et al.
Publicado: (2024)

Leveraging Member-Group Relations via Multi-View Graph Filtering for Effective Group Recommendation
por: Kim, Chae-Hyun, et al.
Publicado: (2025)

Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories
por: Liu, Yueyang, et al.
Publicado: (2024)

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
por: Wang, Zheng, et al.
Publicado: (2024)

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

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation
por: Park, Jin-Duk, et al.
Publicado: (2024)

Training-free Adjustable Polynomial Graph Filtering for Ultra-fast Multimodal Recommendation
por: Roh, Yu-Seung, et al.
Publicado: (2025)

Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
por: Park, Jin-Duk, et al.
Publicado: (2025)

CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
por: Yang, Xiaojie, et al.
Publicado: (2024)

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
por: Li, Yushen, et al.
Publicado: (2024)

A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentation
por: Yang, Qikai, et al.
Publicado: (2024)

Improved Adaboost Algorithm for Web Advertisement Click Prediction Based on Long Short-Term Memory Networks
por: Yu, Qixuan, et al.
Publicado: (2024)

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

A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
por: Sung, Jinkyu, et al.
Publicado: (2026)

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
por: Hou, Yu, et al.
Publicado: (2024)

Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
por: Hou, Yu, et al.
Publicado: (2025)

Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems
por: Senapati, Aadarsh, et al.
Publicado: (2026)

Hypergraph Diffusion for High-Order Recommender Systems
por: Sakong, Darnbi, et al.
Publicado: (2025)

Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion
por: Sakong, Darnbi, et al.
Publicado: (2025)

Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation
por: Huang, Keke, et al.
Publicado: (2024)

Link Prediction with Physics-Inspired Graph Neural Networks
por: Di Francesco, Andrea Giuseppe, et al.
Publicado: (2024)

GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
por: Lu, Hsiao-Ying, et al.
Publicado: (2024)

A Survey of Graph Neural Networks for Social Recommender Systems
por: Sharma, Kartik, et al.
Publicado: (2022)

DeepSN: A Sheaf Neural Framework for Influence Maximization
por: Hevapathige, Asela, et al.
Publicado: (2024)

Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
por: Dai, Yanjun, et al.
Publicado: (2025)

Towards Graph Contrastive Learning: A Survey and Beyond
por: Ju, Wei, et al.
Publicado: (2024)

Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions
por: Vuruma, Sai Krishna Revanth, et al.
Publicado: (2024)

YT-30M: A multi-lingual multi-category dataset of YouTube comments
por: Dutta, Hridoy Sankar
Publicado: (2024)

Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia
por: Feith, Tomás, et al.
Publicado: (2024)

AutoVerifier: An Agentic Automated Verification Framework Using Large Language Models
por: Du, Yuntao, et al.
Publicado: (2026)