GCN-TULHOR: Trajectory-User Linking Leveraging GCNs and Higher-Order Spatial Representations
Fuente:
arXiv
Saved in:
| Main Authors: | Tran, Khoa, Gupta, Pranav, Papagelis, Manos |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PathletRL++: Optimizing Trajectory Pathlet Extraction and Dictionary Formation via Reinforcement Learning
by: Alix, Gian, et al.
Published: (2024)
by: Alix, Gian, et al.
Published: (2024)
TraceHiding: Scalable Machine Unlearning for Mobility Data
by: Faraji, Ali, et al.
Published: (2025)
by: Faraji, Ali, et al.
Published: (2025)
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
by: Ji, Shengwei, et al.
Published: (2024)
by: Ji, Shengwei, et al.
Published: (2024)
Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources
by: Babanejaddehaki, Ghazaleh, et al.
Published: (2024)
by: Babanejaddehaki, Ghazaleh, et al.
Published: (2024)
Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing
by: Arasteh, Fazel, et al.
Published: (2025)
by: Arasteh, Fazel, et al.
Published: (2025)
TrajLearn: Trajectory Prediction Learning using Deep Generative Models
by: Nadiri, Amirhossein, et al.
Published: (2024)
by: Nadiri, Amirhossein, et al.
Published: (2024)
RsGCN: Subgraph-Based Rescaling Enhances Generalization of GCNs for Solving Traveling Salesman Problems
by: Huang, Junquan, et al.
Published: (2025)
by: Huang, Junquan, et al.
Published: (2025)
Predicting Evoked Emotions in Conversations
by: Altarawneh, Enas, et al.
Published: (2023)
by: Altarawneh, Enas, et al.
Published: (2023)
Knowledge-Aware Conversation Derailment Forecasting Using Graph Convolutional Networks
by: Altarawneh, Enas, et al.
Published: (2024)
by: Altarawneh, Enas, et al.
Published: (2024)
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
by: You, Haoran, et al.
Published: (2021)
by: You, Haoran, et al.
Published: (2021)
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
by: Quader, Shaikh, et al.
Published: (2024)
by: Quader, Shaikh, et al.
Published: (2024)
AIRES: Accelerating Out-of-Core GCNs via Algorithm-System Co-Design
by: Jayakody, Shakya, et al.
Published: (2025)
by: Jayakody, Shakya, et al.
Published: (2025)
RegionGCN: Spatial-Heterogeneity-Aware Graph Convolutional Networks
by: Guo, Hao, et al.
Published: (2025)
by: Guo, Hao, et al.
Published: (2025)
Fairness and Robustness in Machine Unlearning
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs
by: Fiorini, Stefano, et al.
Published: (2023)
by: Fiorini, Stefano, et al.
Published: (2023)
Leveraging Duration Pseudo-Embeddings in Multilevel LSTM and GCN Hypermodels for Outcome-Oriented PPM
by: Wang, Fang, et al.
Published: (2025)
by: Wang, Fang, et al.
Published: (2025)
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking
by: Zhang, Simon, et al.
Published: (2024)
by: Zhang, Simon, et al.
Published: (2024)
CueBuddy: helping non-native English speakers navigate English-centric STEM education
by: Gupta, Pranav
Published: (2025)
by: Gupta, Pranav
Published: (2025)
Higher-Order Message Passing for Glycan Representation Learning
by: Joeres, Roman, et al.
Published: (2024)
by: Joeres, Roman, et al.
Published: (2024)
Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs
by: Han, Donghee, et al.
Published: (2025)
by: Han, Donghee, et al.
Published: (2025)
Laplacian-LoRA: Delaying Oversmoothing in Deep GCNs via Spectral Low-Rank Adaptation
by: Alisetti, Sai Vamsi
Published: (2026)
by: Alisetti, Sai Vamsi
Published: (2026)
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
by: Carrasco, Martin, et al.
Published: (2025)
by: Carrasco, Martin, et al.
Published: (2025)
Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation
by: Gao, Hanjia, et al.
Published: (2026)
by: Gao, Hanjia, et al.
Published: (2026)
State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives
by: Tran, Hoang-Son, et al.
Published: (2026)
by: Tran, Hoang-Son, et al.
Published: (2026)
Efficient Unlearning through Maximizing Relearning Convergence Delay
by: Tran, Khoa, et al.
Published: (2026)
by: Tran, Khoa, et al.
Published: (2026)
MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators
by: Wan, Cheng, et al.
Published: (2025)
by: Wan, Cheng, et al.
Published: (2025)
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction
by: Liu, Haoxin
Published: (2024)
by: Liu, Haoxin
Published: (2024)
Causal inference and model explainability tools for retail
by: Gupta, Pranav, et al.
Published: (2025)
by: Gupta, Pranav, et al.
Published: (2025)
A Breadth-First Catalog of Text Processing, Speech Processing and Multimodal Research in South Asian Languages
by: Gupta, Pranav
Published: (2024)
by: Gupta, Pranav
Published: (2024)
A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
by: Tran, Khoa, et al.
Published: (2023)
by: Tran, Khoa, et al.
Published: (2023)
Beyond Pairwise Correlations: Higher-Order Redundancies in Self-Supervised Representation Learning
by: Zollikofer, David, et al.
Published: (2024)
by: Zollikofer, David, et al.
Published: (2024)
MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Analysis
by: Zhu, Wenqi, et al.
Published: (2024)
by: Zhu, Wenqi, et al.
Published: (2024)
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
by: Wang, Juntong, et al.
Published: (2025)
by: Wang, Juntong, et al.
Published: (2025)
Generalized User Representations for Transfer Learning
by: Fazelnia, Ghazal, et al.
Published: (2024)
by: Fazelnia, Ghazal, et al.
Published: (2024)
Using Part-based Representations for Explainable Deep Reinforcement Learning
by: Kirtas, Manos, et al.
Published: (2024)
by: Kirtas, Manos, et al.
Published: (2024)
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
by: Besta, Maciej, et al.
Published: (2023)
by: Besta, Maciej, et al.
Published: (2023)
MA2GCN: Multi Adjacency relationship Attention Graph Convolutional Networks for Traffic Prediction using Trajectory data
by: Sun, Zhengke, et al.
Published: (2024)
by: Sun, Zhengke, et al.
Published: (2024)
Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
by: Ai, Rui, et al.
Published: (2025)
by: Ai, Rui, et al.
Published: (2025)
HGTUL: A Hypergraph-based Model For Trajectory User Linking
by: Chang, Fengjie, et al.
Published: (2025)
by: Chang, Fengjie, et al.
Published: (2025)
Similar Items
-
PathletRL++: Optimizing Trajectory Pathlet Extraction and Dictionary Formation via Reinforcement Learning
by: Alix, Gian, et al.
Published: (2024) -
TraceHiding: Scalable Machine Unlearning for Mobility Data
by: Faraji, Ali, et al.
Published: (2025) -
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
by: Ji, Shengwei, et al.
Published: (2024) -
Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources
by: Babanejaddehaki, Ghazaleh, et al.
Published: (2024) -
Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing
by: Arasteh, Fazel, et al.
Published: (2025)