Cover Image

Bi-Level Graph Structure Learning for Next POI Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Liang, Wu, Shu, Liu, Qiang, Zhu, Yanqiao, Tao, Xiang, Zhang, Mengdi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
by: Tao, Xiang, et al.
Published: (2024)

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module
by: Li, Pei-Xuan, et al.
Published: (2025)

MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation
by: Wu, Yuqian, et al.
Published: (2024)

Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation
by: Lin, Yuxi, et al.
Published: (2026)

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
by: Huang, Tianhao, et al.
Published: (2024)

Geography-Aware Large Language Models for Next POI Recommendation
by: Liu, Zhao, et al.
Published: (2025)

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

GOT4Rec: Graph of Thoughts for Sequential Recommendation
by: Long, Zewen, et al.
Published: (2024)

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation
by: Wu, Ziqing, et al.
Published: (2024)

CaST-POI: Candidate-Conditioned Spatiotemporal Modeling for Next POI Recommendation
by: Yu, Zhenyu, et al.
Published: (2026)

Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2025)

RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
by: Li, Kunrong, et al.
Published: (2025)

Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs
by: Du, Yuwei, et al.
Published: (2024)

Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data
by: Chen, Hongyi, et al.
Published: (2025)

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
by: Feng, Shanshan, et al.
Published: (2024)

Next Point-of-interest (POI) Recommendation Model Based on Multi-modal Spatio-temporal Context Feature Embedding
by: Zhang, Lingyu, et al.
Published: (2025)

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
by: Liu, Meng, et al.
Published: (2023)

Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
by: Shen, Zhixiang, et al.
Published: (2024)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
by: Zhang, Jiajun, et al.
Published: (2024)

Federated Prototype Graph Learning
by: Wu, Zhengyu, et al.
Published: (2025)

FedGTA: Topology-aware Averaging for Federated Graph Learning
by: Li, Xunkai, et al.
Published: (2024)

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

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

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

Federated Continual Graph Learning
by: Zhu, Yinlin, et al.
Published: (2024)

Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
by: Zhou, Wang-Tao, et al.
Published: (2025)

Mag-Mamba: Modeling Coupled spatiotemporal Asymmetry for POI Recommendation
by: Li, Zhuoxuan, et al.
Published: (2026)

A Comprehensive Data-centric Overview of Federated Graph Learning
by: Wu, Zhengyu, et al.
Published: (2025)

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

Graph Fairness Learning under Distribution Shifts
by: Li, Yibo, et al.
Published: (2024)

Score-based Generative Diffusion Models for Social Recommendations
by: Liu, Chengyi, et al.
Published: (2024)

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
by: Wang, Liang, et al.
Published: (2024)

TransTARec: Time-Adaptive Translating Embedding Model for Next POI Recommendation
by: Sun, Yiping
Published: (2024)

ADS-POI: Agentic Spatiotemporal State Decomposition for Next Point-of-Interest Recommendation
by: Yu, Zhenyu, et al.
Published: (2026)

RAGraph: A General Retrieval-Augmented Graph Learning Framework
by: Jiang, Xinke, et al.
Published: (2024)

Rethinking Node-wise Propagation for Large-scale Graph Learning
by: Li, Xunkai, et al.
Published: (2024)

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)

Prompt Learning on Temporal Interaction Graphs
by: Chen, Xi, et al.
Published: (2024)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)

Graph Data Condensation via Self-expressive Graph Structure Reconstruction
by: Liu, Zhanyu, et al.
Published: (2024)