A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Dynamic Graph Neural Networks (GNNs) combine temporal information with GNNs to
capture structural, temporal, and contextual relationships in dynamic graphs simultaneously …
capture structural, temporal, and contextual relationships in dynamic graphs simultaneously …
Improving Interaction-based Vehicle Trajectory Prediction via Handling Sensing Failures
Y Li, Y Jiang, Z Xiong, X Wu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Accurately predicting the future trajectories of surrounding vehicles is critical to the safety
and efficiency of autonomous vehicles. Although current trajectory prediction models based …
and efficiency of autonomous vehicles. Although current trajectory prediction models based …