Cover Image

Disentangling Multiplex Spatial-Temporal Transition Graph Representation Learning for Socially Enhanced POI Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jie, Dong, Haoye, Wu, Zhengyang, Zheng, Zetao, Lin, Mingrong
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MemoryKT: An Integrative Memory-and-Forgetting Method for Knowledge Tracing
by: Lin, Mingrong, et al.
Published: (2025)

Bi-Level Graph Structure Learning for Next POI Recommendation
by: Wang, Liang, et al.
Published: (2024)

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

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

Disentangled Generative Graph Representation Learning
by: Hu, Xinyue, et al.
Published: (2024)

ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
by: Chen, Hongjiang, et al.
Published: (2026)

Disentangled Representation Learning
by: Wang, Xin, et al.
Published: (2022)

Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning
by: Gong, Letian, et al.
Published: (2024)

Learning Network Representations with Disentangled Graph Auto-Encoder
by: Fan, Di, et al.
Published: (2024)

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

GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
by: Ke, Songyu, et al.
Published: (2025)

'Si'multaneous 'S'patial-'T'emporal Message Passing for Dynamic Graph Representation Learning
by: Roy, Shubhajit, et al.
Published: (2026)

Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)

Disentangled Representation Learning for Causal Inference with Instruments
by: Cheng, Debo, et al.
Published: (2024)

Disentanglement in Difference: Directly Learning Semantically Disentangled Representations by Maximizing Inter-Factor Differences
by: Zhang, Xingshen, et al.
Published: (2025)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
by: Sun, Jinze, et al.
Published: (2024)

Adversarial Graph Disentanglement
by: Zheng, Shuai, et al.
Published: (2021)

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025)

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
by: Gao, Weibo, et al.
Published: (2024)

STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
by: Zhao, Zhengyang, et al.
Published: (2024)

Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting
by: Lin, Zhenan, et al.
Published: (2025)

FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations
by: Tan, Zhizhong, et al.
Published: (2025)

Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
by: Guan, Zenghao, et al.
Published: (2025)

Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
by: Lei, Han, et al.
Published: (2025)

SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation
by: Chen, Jielin, et al.
Published: (2024)

Disentangled and Self-Explainable Node Representation Learning
by: Piaggesi, Simone, et al.
Published: (2024)

D-FaST: Cognitive Signal Decoding with Disentangled Frequency-Spatial-Temporal Attention
by: Chen, Weiguo, et al.
Published: (2024)

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases
by: Wang, Zhepeng, et al.
Published: (2024)

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
by: Shi, Zhihao, et al.
Published: (2023)

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
by: Su, Junwei, et al.
Published: (2024)

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
by: Xu, Mingkun, et al.
Published: (2024)

TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations
by: Gupta, Nikunj, et al.
Published: (2025)

Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024)

Deep Disentangled Representation Network for Treatment Effect Estimation
by: Meng, Hui, et al.
Published: (2025)

GRExplainer: A Universal Explanation Method for Temporal Graph Neural Networks
by: Li, Xuyan, et al.
Published: (2025)

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction
by: Wu, Ziyang, et al.
Published: (2024)

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
by: Chen, Yile, et al.
Published: (2024)

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2025)

An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles
by: Samiuddin, Jilan, et al.
Published: (2024)

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