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Found 4 papers, 1 papers with code
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach
With the arrival of the big data era, mobility profiling has become a viable method of utilizing enormous amounts of mobility data to create an intelligent transportation system.
Coupled Attention Networks for Multivariate Time Series Anomaly Detection
To address this issue, we propose a coupled attention-based neural network framework (CAN) for anomaly detection in multivariate time series data featuring dynamic variable relationships.
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
To reduce this research gap and learn human mobility knowledge from this fixed travel behaviors, we propose a multi-pattern passenger flow prediction framework, MPGCN, based on Graph Convolutional Network (GCN).
Matching Algorithms: Fundamentals, Applications and Challenges
Based on the preference list access, matching problems are divided into two categories, i. e., explicit matching and implicit matching.
Information Retrieval
Recommendation Systems
Social and Information Networks
