Imagen de Portada

Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yan, Ziang, Zhao, Xingyu, Ma, Hanqing, Chen, Wei, Qi, Jianpeng, Yu, Yanwei, Dong, Junyu
Formato:	Preprint
Publicado:	2025
Materias:	Social and Information Networks Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
por: Jing, Lixian, et al.
Publicado: (2024)

User Identity Linkage on Social Networks: A Review of Modern Techniques and Applications
por: Senette, Caterina, et al.
Publicado: (2024)

Scalable Trajectory-User Linking with Dual-Stream Representation Networks
por: Zhang, Hao, et al.
Publicado: (2025)

Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
por: Zheng, Zhiyuan, et al.
Publicado: (2025)

Multi-Channel Hypergraph Contrastive Learning for Matrix Completion
por: Li, Xiang, et al.
Publicado: (2024)

Closed-Form and Boundary Expressions for Task-Success Probability in Status-Driven Systems
por: Qi, Jianpeng, et al.
Publicado: (2025)

TPAoI: Ensuring Fresh Service Status at the Network Edge in Compute-First Networking
por: He, Haosheng, et al.
Publicado: (2024)

TCMIIES: A Browser-Based LLM-Powered Intelligent Information Extraction System for Academic Literature
por: Zhao, Hanqing
Publicado: (2026)

Retention Induced Biases in a Recommendation System with Heterogeneous Users
por: Ma, Shichao
Publicado: (2024)

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation
por: Cui, Yu, et al.
Publicado: (2025)

Dual-Channel Multiplex Graph Neural Networks for Recommendation
por: Li, Xiang, et al.
Publicado: (2024)

Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual
por: Azevedo, Igor L. R., et al.
Publicado: (2024)

Retrieval Augmentation via User Interest Clustering
por: Lyu, Hanjia, et al.
Publicado: (2024)

Masked Graph Transformer for Large-Scale Recommendation
por: Chen, Huiyuan, et al.
Publicado: (2024)

EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
por: Tian, Zhen, et al.
Publicado: (2024)

Using LLMs to Capture Users' Temporal Context for Recommendation
por: Sabouri, Milad, et al.
Publicado: (2025)

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
por: Sang, Lei, et al.
Publicado: (2025)

Decoupled Multimodal Fusion for User Interest Modeling in Click-Through Rate Prediction
por: Fan, Alin, et al.
Publicado: (2025)

AMBER: An Adaptive Multimodal Mask Transformer for Beam Prediction with Missing Modalities
por: Wen, Chenyiming, et al.
Publicado: (2025)

Library Access and the Mobility of Users
por: Kaser, David
Publicado: (1974)

Decision-Aware Semantic State Synchronization in Compute-First Networking
por: Qi, Jianpeng, et al.
Publicado: (2026)

Efficient Information Updates in Compute-First Networking via Reinforcement Learning with Joint AoI and VoI
por: Qi, Jianpeng, et al.
Publicado: (2025)

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

Movable Antenna Enhanced Downlink Multi-User Integrated Sensing and Communication System
por: Han, Yanze, et al.
Publicado: (2025)

UMGAD: Unsupervised Multiplex Graph Anomaly Detection
por: Li, Xiang, et al.
Publicado: (2024)

Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
por: Jiang, Ruobing, et al.
Publicado: (2025)

Heterogeneous User Modeling for LLM-based Recommendation
por: Bao, Honghui, et al.
Publicado: (2025)

IoDResearch: Deep Research on Private Heterogeneous Data via the Internet of Data
por: Shi, Zhuofan, et al.
Publicado: (2025)

Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
por: Wanyan, Xinye, et al.
Publicado: (2025)

Masked Language Models are Good Heterogeneous Graph Generalizers
por: Yang, Jinyu, et al.
Publicado: (2025)

Using LLMs to Investigate Correlations of Conversational Follow-up Queries with User Satisfaction
por: Kim, Hyunwoo, et al.
Publicado: (2024)

Privacy Risks in the Storytelling of Open Government Data: A Study from the Perspective of User Cognitive Reasoning
por: Ruili Geng, et al.
Publicado: (2024)

HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
por: Elsayed, Shereen, et al.
Publicado: (2024)

Graph-based Recommendation for Sparse and Heterogeneous User Interactions
por: Bruun, Simone Borg, et al.
Publicado: (2023)

Exponentially Consistent Nonparametric Linkage-Based Clustering of Data Sequences
por: Singh, Bhupender, et al.
Publicado: (2024)

User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation
por: Du, Jing, et al.
Publicado: (2026)

Characterizing User Behavior: The Interplay Between Mobility Patterns and Mobile Traffic
por: Kouam, Anne Josiane, et al.
Publicado: (2025)

E-Health Sensitive Data Dissemination Exploiting Trust and Mobility of Users
por: Batista, Agnaldo, et al.
Publicado: (2020)

MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement
por: Lin, Zizhen, et al.
Publicado: (2024)

Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning
por: Wang, Jinmeiyang, et al.
Publicado: (2025)